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You searched for subject:(Fuel Prediction). Showing records 1 – 16 of 16 total matches.

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Delft University of Technology

1. Bhoraskar, Akshay (author). Prediction of Fuel Consumption of Long Haul Heavy Duty Vehicles using Machine Learning and Comparison of the Performance of Various Learning Techniques.

Degree: 2019, Delft University of Technology

 This study aims at a possible solution to predict the fuel consumption of heavy duty diesel trucks, particularly, the tractor semitrailer for their long haul… (more)

Subjects/Keywords: Fuel Prediction; Machine Learning; Heavy duty vehicles

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bhoraskar, A. (. (2019). Prediction of Fuel Consumption of Long Haul Heavy Duty Vehicles using Machine Learning and Comparison of the Performance of Various Learning Techniques. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:acf934e3-ceeb-49ba-b98e-11f384324aea

Chicago Manual of Style (16th Edition):

Bhoraskar, Akshay (author). “Prediction of Fuel Consumption of Long Haul Heavy Duty Vehicles using Machine Learning and Comparison of the Performance of Various Learning Techniques.” 2019. Masters Thesis, Delft University of Technology. Accessed April 17, 2021. http://resolver.tudelft.nl/uuid:acf934e3-ceeb-49ba-b98e-11f384324aea.

MLA Handbook (7th Edition):

Bhoraskar, Akshay (author). “Prediction of Fuel Consumption of Long Haul Heavy Duty Vehicles using Machine Learning and Comparison of the Performance of Various Learning Techniques.” 2019. Web. 17 Apr 2021.

Vancouver:

Bhoraskar A(. Prediction of Fuel Consumption of Long Haul Heavy Duty Vehicles using Machine Learning and Comparison of the Performance of Various Learning Techniques. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Apr 17]. Available from: http://resolver.tudelft.nl/uuid:acf934e3-ceeb-49ba-b98e-11f384324aea.

Council of Science Editors:

Bhoraskar A(. Prediction of Fuel Consumption of Long Haul Heavy Duty Vehicles using Machine Learning and Comparison of the Performance of Various Learning Techniques. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:acf934e3-ceeb-49ba-b98e-11f384324aea


Oklahoma State University

2. Chaudhary, Arpan. Developing Predictive Models for Fuel Consumption and Maintenance Cost Using Equipment Fleet Data.

Degree: Civil Engineering, 2019, Oklahoma State University

 The state departments of transportation (DOTs) possess a big construction equipment fleet that is engaged in various highway maintenance and repair activities all over the… (more)

Subjects/Keywords: construction equipment; data mining; equipment management; fuel prediction; maintenance cost prediction; multiple regression analysis

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APA (6th Edition):

Chaudhary, A. (2019). Developing Predictive Models for Fuel Consumption and Maintenance Cost Using Equipment Fleet Data. (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/323383

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chaudhary, Arpan. “Developing Predictive Models for Fuel Consumption and Maintenance Cost Using Equipment Fleet Data.” 2019. Thesis, Oklahoma State University. Accessed April 17, 2021. http://hdl.handle.net/11244/323383.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chaudhary, Arpan. “Developing Predictive Models for Fuel Consumption and Maintenance Cost Using Equipment Fleet Data.” 2019. Web. 17 Apr 2021.

Vancouver:

Chaudhary A. Developing Predictive Models for Fuel Consumption and Maintenance Cost Using Equipment Fleet Data. [Internet] [Thesis]. Oklahoma State University; 2019. [cited 2021 Apr 17]. Available from: http://hdl.handle.net/11244/323383.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chaudhary A. Developing Predictive Models for Fuel Consumption and Maintenance Cost Using Equipment Fleet Data. [Thesis]. Oklahoma State University; 2019. Available from: http://hdl.handle.net/11244/323383

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Cranfield University

3. Wang, Xiaoyang. Aircraft fuel system prognostics and health management.

Degree: MSc by Research, 2012, Cranfield University

 This thesis contains the specific description of Group Design Project (GDP) and Individual Research Project (IRP) that are undertaken by the author and form part… (more)

Subjects/Keywords: PHM; Reliability; Safety; Fuel temperature prediction; Flying wing

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APA (6th Edition):

Wang, X. (2012). Aircraft fuel system prognostics and health management. (Masters Thesis). Cranfield University. Retrieved from http://dspace.lib.cranfield.ac.uk/handle/1826/7214

Chicago Manual of Style (16th Edition):

Wang, Xiaoyang. “Aircraft fuel system prognostics and health management.” 2012. Masters Thesis, Cranfield University. Accessed April 17, 2021. http://dspace.lib.cranfield.ac.uk/handle/1826/7214.

MLA Handbook (7th Edition):

Wang, Xiaoyang. “Aircraft fuel system prognostics and health management.” 2012. Web. 17 Apr 2021.

Vancouver:

Wang X. Aircraft fuel system prognostics and health management. [Internet] [Masters thesis]. Cranfield University; 2012. [cited 2021 Apr 17]. Available from: http://dspace.lib.cranfield.ac.uk/handle/1826/7214.

Council of Science Editors:

Wang X. Aircraft fuel system prognostics and health management. [Masters Thesis]. Cranfield University; 2012. Available from: http://dspace.lib.cranfield.ac.uk/handle/1826/7214


The Ohio State University

4. Jing, Junbo. Vehicle Predictive Fuel-Optimal Control for Real-World Systems.

Degree: PhD, Electrical and Computer Engineering, 2018, The Ohio State University

 In response of the world's increasing concern on carbon emissions, vehicle real-world fuel economy potential is being further developed by autonomy and connectivity, so as… (more)

Subjects/Keywords: Electrical Engineering; Model Predictive Control, Optimal Control, Vehicle Fuel Economy, Model Estimation, Vehicle Speed Prediction

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APA (6th Edition):

Jing, J. (2018). Vehicle Predictive Fuel-Optimal Control for Real-World Systems. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1534506777487814

Chicago Manual of Style (16th Edition):

Jing, Junbo. “Vehicle Predictive Fuel-Optimal Control for Real-World Systems.” 2018. Doctoral Dissertation, The Ohio State University. Accessed April 17, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1534506777487814.

MLA Handbook (7th Edition):

Jing, Junbo. “Vehicle Predictive Fuel-Optimal Control for Real-World Systems.” 2018. Web. 17 Apr 2021.

Vancouver:

Jing J. Vehicle Predictive Fuel-Optimal Control for Real-World Systems. [Internet] [Doctoral dissertation]. The Ohio State University; 2018. [cited 2021 Apr 17]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1534506777487814.

Council of Science Editors:

Jing J. Vehicle Predictive Fuel-Optimal Control for Real-World Systems. [Doctoral Dissertation]. The Ohio State University; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1534506777487814


Georgia Tech

5. Sridhar, Madhuvanthi. Traffic light learning and prediction.

Degree: MS, Mechanical Engineering, 2020, Georgia Tech

 This thesis discusses the implementation of a traffic light learning & prediction model. The increase in V2X communications to predict traffic light behavior live, efforts… (more)

Subjects/Keywords: Traffic light learning & prediction model; V2X communications; Fuel economy; Environmental pollution; Vehicle emissions; Vision system; Batch updating procedure; Signal length predictions; Knowledgebase; Signal drift

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APA (6th Edition):

Sridhar, M. (2020). Traffic light learning and prediction. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62758

Chicago Manual of Style (16th Edition):

Sridhar, Madhuvanthi. “Traffic light learning and prediction.” 2020. Masters Thesis, Georgia Tech. Accessed April 17, 2021. http://hdl.handle.net/1853/62758.

MLA Handbook (7th Edition):

Sridhar, Madhuvanthi. “Traffic light learning and prediction.” 2020. Web. 17 Apr 2021.

Vancouver:

Sridhar M. Traffic light learning and prediction. [Internet] [Masters thesis]. Georgia Tech; 2020. [cited 2021 Apr 17]. Available from: http://hdl.handle.net/1853/62758.

Council of Science Editors:

Sridhar M. Traffic light learning and prediction. [Masters Thesis]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/62758

6. Örneskans, Alexander. Signal-filtration methodology for estimation of fuel level.

Degree: Electrical and Space Engineering, 2018, Luleå University of Technology

  Knowing how much fuel there is in a car is important for a predictable driving experience. Such knowledge will dictate how a person drives,… (more)

Subjects/Keywords: fuel level estimation; fuel level prediction; Control Engineering; Reglerteknik; Signal Processing; Signalbehandling

…uncertainties that govern fuel level prediction. There are cases that bring up nonlinear behaviour… …uncertainty to it. It is worth noting that this thesis does not focus on fuel consumption prediction… …71 litre fuel tank used within this thesis. Subfigure a has stationary fuel and b has… …sloshing fuel. The tank is a saddle tank and is divided into one active and one passive chamber… …The active side is the chamber to the right. [1] . . . . . . . . . . . A fuel pump… 

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APA (6th Edition):

Örneskans, A. (2018). Signal-filtration methodology for estimation of fuel level. (Thesis). Luleå University of Technology. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-70071

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Örneskans, Alexander. “Signal-filtration methodology for estimation of fuel level.” 2018. Thesis, Luleå University of Technology. Accessed April 17, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-70071.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Örneskans, Alexander. “Signal-filtration methodology for estimation of fuel level.” 2018. Web. 17 Apr 2021.

Vancouver:

Örneskans A. Signal-filtration methodology for estimation of fuel level. [Internet] [Thesis]. Luleå University of Technology; 2018. [cited 2021 Apr 17]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-70071.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Örneskans A. Signal-filtration methodology for estimation of fuel level. [Thesis]. Luleå University of Technology; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-70071

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Edith Cowan University

7. Brka, Adel. Optimisation of stand-alone hydrogen-based renewable energy systems using intelligent techniques.

Degree: 2015, Edith Cowan University

 Wind and solar irradiance are promising renewable alternatives to fossil fuels due to their availability and topological advantages for local power generation. However, their intermittent… (more)

Subjects/Keywords: Hybrid power systems; renewable energy sources; Hydrogen as fuel; Renewable energy; Hydrogen energy; Systems optimization; Multi-objective Genetic Algorithm; Experiments; Transient start-up; Life cycle emissions; Short-term prediction; Wind speed; Wind energy; Neural Networks; Multi-parameter prediction; Seasonal effects; Intelligent; Predictive; Power Management Strategy; Real-time; Device intermittency; Power and Energy

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APA (6th Edition):

Brka, A. (2015). Optimisation of stand-alone hydrogen-based renewable energy systems using intelligent techniques. (Thesis). Edith Cowan University. Retrieved from https://ro.ecu.edu.au/theses/1756

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Brka, Adel. “Optimisation of stand-alone hydrogen-based renewable energy systems using intelligent techniques.” 2015. Thesis, Edith Cowan University. Accessed April 17, 2021. https://ro.ecu.edu.au/theses/1756.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Brka, Adel. “Optimisation of stand-alone hydrogen-based renewable energy systems using intelligent techniques.” 2015. Web. 17 Apr 2021.

Vancouver:

Brka A. Optimisation of stand-alone hydrogen-based renewable energy systems using intelligent techniques. [Internet] [Thesis]. Edith Cowan University; 2015. [cited 2021 Apr 17]. Available from: https://ro.ecu.edu.au/theses/1756.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Brka A. Optimisation of stand-alone hydrogen-based renewable energy systems using intelligent techniques. [Thesis]. Edith Cowan University; 2015. Available from: https://ro.ecu.edu.au/theses/1756

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Toronto

8. Kidnie, Susan M. Fuel Load and Fire Behaviour in the Southern Ontario Tallgrass Prairie.

Degree: 2009, University of Toronto

Prescribed burning is an important management tool for the restoration and maintenance of tallgrass prairies. To improve fire behaviour prediction in tallgrass prairies, I assessed… (more)

Subjects/Keywords: tallgrass prairie; prescribed burning; heat of combustion; fuel load; grass fire spread prediction; 0478; 0777; 0329

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APA (6th Edition):

Kidnie, S. M. (2009). Fuel Load and Fire Behaviour in the Southern Ontario Tallgrass Prairie. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/18791

Chicago Manual of Style (16th Edition):

Kidnie, Susan M. “Fuel Load and Fire Behaviour in the Southern Ontario Tallgrass Prairie.” 2009. Masters Thesis, University of Toronto. Accessed April 17, 2021. http://hdl.handle.net/1807/18791.

MLA Handbook (7th Edition):

Kidnie, Susan M. “Fuel Load and Fire Behaviour in the Southern Ontario Tallgrass Prairie.” 2009. Web. 17 Apr 2021.

Vancouver:

Kidnie SM. Fuel Load and Fire Behaviour in the Southern Ontario Tallgrass Prairie. [Internet] [Masters thesis]. University of Toronto; 2009. [cited 2021 Apr 17]. Available from: http://hdl.handle.net/1807/18791.

Council of Science Editors:

Kidnie SM. Fuel Load and Fire Behaviour in the Southern Ontario Tallgrass Prairie. [Masters Thesis]. University of Toronto; 2009. Available from: http://hdl.handle.net/1807/18791


IUPUI

9. Schoen, Alexander C. Complex Vehicle Modeling: A Data Driven Approach.

Degree: 2019, IUPUI

Indiana University-Purdue University Indianapolis (IUPUI)

This thesis proposes an artificial neural network (NN) model to predict fuel consumption in heavy vehicles. The model uses predictors… (more)

Subjects/Keywords: Neural Network Prediction; Fuel Consumption Improvement; Ensemble Learning; Refuse Truck; Complex System Modeling; Delivery Truck; Vehicle Routing; SAE J1321; Synthetic Data Generation; Aerodynamic Speed; Characteristic Acceleration; Feature Importance; Influence of Weights; Machine Learning; Point-wise Error; Artificial Neural Network

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APA (6th Edition):

Schoen, A. C. (2019). Complex Vehicle Modeling: A Data Driven Approach. (Thesis). IUPUI. Retrieved from http://hdl.handle.net/1805/21466

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Schoen, Alexander C. “Complex Vehicle Modeling: A Data Driven Approach.” 2019. Thesis, IUPUI. Accessed April 17, 2021. http://hdl.handle.net/1805/21466.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Schoen, Alexander C. “Complex Vehicle Modeling: A Data Driven Approach.” 2019. Web. 17 Apr 2021.

Vancouver:

Schoen AC. Complex Vehicle Modeling: A Data Driven Approach. [Internet] [Thesis]. IUPUI; 2019. [cited 2021 Apr 17]. Available from: http://hdl.handle.net/1805/21466.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Schoen AC. Complex Vehicle Modeling: A Data Driven Approach. [Thesis]. IUPUI; 2019. Available from: http://hdl.handle.net/1805/21466

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Virginia Tech

10. Singh, Hitendra Kumar. Lifetime Prediction and Durability of Elastomeric Seals for Fuel Cell Applications.

Degree: PhD, Engineering Science and Mechanics, 2009, Virginia Tech

 Polymer electrolyte membrane (PEM) fuel cell (FC) stacks require elastomeric gaskets for each cell to keep the reactant gases within their respective regions[1]. If any… (more)

Subjects/Keywords: Strain Energy Release Rate; Stick-slip; Viscoelastic; Degradation; Polymer Electrolyte Membrane Fuel Cell (PEMFC); Elastomeric Seals; Stress Relaxation; Durability; Lifetime Prediction.

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APA (6th Edition):

Singh, H. K. (2009). Lifetime Prediction and Durability of Elastomeric Seals for Fuel Cell Applications. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/27658

Chicago Manual of Style (16th Edition):

Singh, Hitendra Kumar. “Lifetime Prediction and Durability of Elastomeric Seals for Fuel Cell Applications.” 2009. Doctoral Dissertation, Virginia Tech. Accessed April 17, 2021. http://hdl.handle.net/10919/27658.

MLA Handbook (7th Edition):

Singh, Hitendra Kumar. “Lifetime Prediction and Durability of Elastomeric Seals for Fuel Cell Applications.” 2009. Web. 17 Apr 2021.

Vancouver:

Singh HK. Lifetime Prediction and Durability of Elastomeric Seals for Fuel Cell Applications. [Internet] [Doctoral dissertation]. Virginia Tech; 2009. [cited 2021 Apr 17]. Available from: http://hdl.handle.net/10919/27658.

Council of Science Editors:

Singh HK. Lifetime Prediction and Durability of Elastomeric Seals for Fuel Cell Applications. [Doctoral Dissertation]. Virginia Tech; 2009. Available from: http://hdl.handle.net/10919/27658

11. Parikh, Harshil R. Microstructure Changes In Solid Oxide Fuel Cell Anodes After Operation, Observed Using Three-Dimensional Reconstruction And Microchemical Analysis.

Degree: PhD, Materials Science and Engineering, 2015, Case Western Reserve University School of Graduate Studies

 Solid oxide fuel cells (SOFCs) have great importance as a more efficient source of electrical power than conventional systems. Nonetheless, there is limited understanding of… (more)

Subjects/Keywords: Materials Science; Solid Oxide Fuel Cell, SOFC, Anode, 3D Reconstruction, long-term performance prediction, triple phase boundary, performance modeling, tortuosity

…x5B;1]. ........................... 1 Figure 1.2: Development history of fuel cells… …the reforming reactions could take place prior to fuel entering the anode. Alternatively… …x5D;. ......... 24 Figure 3.5: Schematic of mounted specimen. The layers of the fuel cell… …acknowledge the financial support from SECA program and LG Fuel Cell Systems Inc. I like to thank LG… …Fuel Cell Systems Inc. associates, especially Dr. Zhien Liu and Richard Goettler, for… 

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APA (6th Edition):

Parikh, H. R. (2015). Microstructure Changes In Solid Oxide Fuel Cell Anodes After Operation, Observed Using Three-Dimensional Reconstruction And Microchemical Analysis. (Doctoral Dissertation). Case Western Reserve University School of Graduate Studies. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1417765534

Chicago Manual of Style (16th Edition):

Parikh, Harshil R. “Microstructure Changes In Solid Oxide Fuel Cell Anodes After Operation, Observed Using Three-Dimensional Reconstruction And Microchemical Analysis.” 2015. Doctoral Dissertation, Case Western Reserve University School of Graduate Studies. Accessed April 17, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=case1417765534.

MLA Handbook (7th Edition):

Parikh, Harshil R. “Microstructure Changes In Solid Oxide Fuel Cell Anodes After Operation, Observed Using Three-Dimensional Reconstruction And Microchemical Analysis.” 2015. Web. 17 Apr 2021.

Vancouver:

Parikh HR. Microstructure Changes In Solid Oxide Fuel Cell Anodes After Operation, Observed Using Three-Dimensional Reconstruction And Microchemical Analysis. [Internet] [Doctoral dissertation]. Case Western Reserve University School of Graduate Studies; 2015. [cited 2021 Apr 17]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1417765534.

Council of Science Editors:

Parikh HR. Microstructure Changes In Solid Oxide Fuel Cell Anodes After Operation, Observed Using Three-Dimensional Reconstruction And Microchemical Analysis. [Doctoral Dissertation]. Case Western Reserve University School of Graduate Studies; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1417765534

12. Almér, Henrik. Machine learning and statistical analysis in fuel consumption prediction for heavy vehicles.

Degree: Computer Science and Communication (CSC), 2015, KTH

I investigate how to use machine learning to predict fuel consumption in heavy vehicles. I examine data from several different sources describing road, vehicle,… (more)

Subjects/Keywords: machine learning; statistical analysis; data science; fuel consumption; prediction; support vector regression; artificial neural networks; random forest; linear regression; Computer Sciences; Datavetenskap (datalogi)

…which ml methods are most successful in fuel consumption prediction as well as what kind of… …investigated in this study is how to do fuel consumption prediction for Scania’s heavy vehicles using… …available data are most relevant for fuel prediction? • Which of the evaluated ml methods are best… …for fuel prediction could be an important building block in a route planning system and… …do statistical prediction of fuel consumption. Subsequent sections present previous work in… 

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APA (6th Edition):

Almér, H. (2015). Machine learning and statistical analysis in fuel consumption prediction for heavy vehicles. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-172306

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Almér, Henrik. “Machine learning and statistical analysis in fuel consumption prediction for heavy vehicles.” 2015. Thesis, KTH. Accessed April 17, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-172306.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Almér, Henrik. “Machine learning and statistical analysis in fuel consumption prediction for heavy vehicles.” 2015. Web. 17 Apr 2021.

Vancouver:

Almér H. Machine learning and statistical analysis in fuel consumption prediction for heavy vehicles. [Internet] [Thesis]. KTH; 2015. [cited 2021 Apr 17]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-172306.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Almér H. Machine learning and statistical analysis in fuel consumption prediction for heavy vehicles. [Thesis]. KTH; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-172306

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

13. Athanasiou, Miltiadis. Συμβολή στην επιλογή της καλύτερης μεθόδου πρόβλεψης της συμπεριφοράς δασικών πυρκαγιών για την Ελλάδα.

Degree: 2015, National and Kapodistrian University of Athens; Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (ΕΚΠΑ)

The objective of this dissertation was to improve wildfire behaviour prediction in Greece for supporting fire management (prevention and suppression) and for improving fire fighter… (more)

Subjects/Keywords: Πρόβλεψη συμπεριφοράς δασικών πυρκαγιών; Δασικές πυρκαγιές επιφανείας; Δασικές πυρκαγιές κόμης; Αείφυλλα πλατύφυλλα; Μακί; Φρύγανα; Χορτολίβαδα; Μοντέλα καύσης ύλης (Μ.Κ.Υ.); Χαλέπιος πεύκη; Πυκνότητα εναέριας καύσιμης ύλης δασοσυστάδας; Μετάδοση δασικών πυρκαγιών με καύτρες; Σύστημα υποστήριξης λήψης αποφάσεων (DSS); Ελλάδα; Wildfire; Forest fire; Fire behaviour prediction; Fire behaviour modelling; Surface fire; Crown fires; Evergreen schlerophyllous shrublands; Maquis; Phrygana; Grasslands; Fuel models; Aleppo pine; Pinus halepensis; Canopy Bulk Density (CBD); Spotting; Decision support system; Greece

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APA (6th Edition):

Athanasiou, M. (2015). Συμβολή στην επιλογή της καλύτερης μεθόδου πρόβλεψης της συμπεριφοράς δασικών πυρκαγιών για την Ελλάδα. (Thesis). National and Kapodistrian University of Athens; Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (ΕΚΠΑ). Retrieved from http://hdl.handle.net/10442/hedi/44644

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Athanasiou, Miltiadis. “Συμβολή στην επιλογή της καλύτερης μεθόδου πρόβλεψης της συμπεριφοράς δασικών πυρκαγιών για την Ελλάδα.” 2015. Thesis, National and Kapodistrian University of Athens; Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (ΕΚΠΑ). Accessed April 17, 2021. http://hdl.handle.net/10442/hedi/44644.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Athanasiou, Miltiadis. “Συμβολή στην επιλογή της καλύτερης μεθόδου πρόβλεψης της συμπεριφοράς δασικών πυρκαγιών για την Ελλάδα.” 2015. Web. 17 Apr 2021.

Vancouver:

Athanasiou M. Συμβολή στην επιλογή της καλύτερης μεθόδου πρόβλεψης της συμπεριφοράς δασικών πυρκαγιών για την Ελλάδα. [Internet] [Thesis]. National and Kapodistrian University of Athens; Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (ΕΚΠΑ); 2015. [cited 2021 Apr 17]. Available from: http://hdl.handle.net/10442/hedi/44644.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Athanasiou M. Συμβολή στην επιλογή της καλύτερης μεθόδου πρόβλεψης της συμπεριφοράς δασικών πυρκαγιών για την Ελλάδα. [Thesis]. National and Kapodistrian University of Athens; Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (ΕΚΠΑ); 2015. Available from: http://hdl.handle.net/10442/hedi/44644

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

14. Xu, Zhanfeng. Prediction and Classification of Physical Properties by Near-Infrared Spectroscopy and Baseline Correction of Gas Chromatography Mass Spectrometry Data of Jet Fuels by Using Chemometric Algorithms.

Degree: PhD, Chemistry and Biochemistry (Arts and Sciences), 2012, Ohio University

  Chemometric techniques were used to extract relevant information from near infrared (NIR) spectral data to accurately classify physical properties of complex fuel samples. Discrimination… (more)

Subjects/Keywords: Analytical Chemistry; Chemistry; chemometrics; NIR; GC/MS; PLS-DA; TCCCN; FuRES; SVM; PDR; projected difference resolution; classification; prediction; baseline correction; jet fuel; triolein

…179 9 List of Tables Page Table 2-1. Distribution of jet fuel physical properties… …53 Table 2-3. Prediction accuracies obtained by oPLS-DA, FuRES, and SVM with the class… …68 Table 2-7. Prediction accuracies obtained by oPLS-DA, FuRES, and SVM with the class… …Comparison of prediction accuracies obtained by PLS-DA and FuRES for the synthetic GC/MS data set… …respectively. ................ 148 Table 5-3. Comparison of prediction accuracies obtained by PLS-DA… 

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Xu, Z. (2012). Prediction and Classification of Physical Properties by Near-Infrared Spectroscopy and Baseline Correction of Gas Chromatography Mass Spectrometry Data of Jet Fuels by Using Chemometric Algorithms. (Doctoral Dissertation). Ohio University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1336436389

Chicago Manual of Style (16th Edition):

Xu, Zhanfeng. “Prediction and Classification of Physical Properties by Near-Infrared Spectroscopy and Baseline Correction of Gas Chromatography Mass Spectrometry Data of Jet Fuels by Using Chemometric Algorithms.” 2012. Doctoral Dissertation, Ohio University. Accessed April 17, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1336436389.

MLA Handbook (7th Edition):

Xu, Zhanfeng. “Prediction and Classification of Physical Properties by Near-Infrared Spectroscopy and Baseline Correction of Gas Chromatography Mass Spectrometry Data of Jet Fuels by Using Chemometric Algorithms.” 2012. Web. 17 Apr 2021.

Vancouver:

Xu Z. Prediction and Classification of Physical Properties by Near-Infrared Spectroscopy and Baseline Correction of Gas Chromatography Mass Spectrometry Data of Jet Fuels by Using Chemometric Algorithms. [Internet] [Doctoral dissertation]. Ohio University; 2012. [cited 2021 Apr 17]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1336436389.

Council of Science Editors:

Xu Z. Prediction and Classification of Physical Properties by Near-Infrared Spectroscopy and Baseline Correction of Gas Chromatography Mass Spectrometry Data of Jet Fuels by Using Chemometric Algorithms. [Doctoral Dissertation]. Ohio University; 2012. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1336436389

15. Jing, Junbo. Vehicle Fuel Consumption Optimization using Model Predictive Control based on V2V communication.

Degree: MS, Electrical and Computer Engineering, 2014, The Ohio State University

 As people are working hard on improving vehicle's fuel economy, a large portion of fuel consumption in everyday driving is wasted by vehicle driver's inexperienced… (more)

Subjects/Keywords: Electrical Engineering; Automotive Engineering; Energy; Engineering; Vehicle Fuel Consumption Minimization, Model Predictive Control, Quadratic Programming, V2V, Vehicle Speed Prediction, Markov Model

…13 2.2 Vehicle Fuel Consumption of Different Prediction Horizons . . . . . . 36 2.3… …fuel consumption, safe car-following, and ride comfort. Speed prediction of the front vehicle… …The prefect prediction assumption helps to investigate the maximum fuel saving potential of… …vehicle’s total fuel consumption within the prediction horizon based on the vehicle’s current… …1.5 . . . . . 1 2 3 7 8 Optimizing Vehicle Fuel Consumption using Model Predictive… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Jing, J. (2014). Vehicle Fuel Consumption Optimization using Model Predictive Control based on V2V communication. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1406201257

Chicago Manual of Style (16th Edition):

Jing, Junbo. “Vehicle Fuel Consumption Optimization using Model Predictive Control based on V2V communication.” 2014. Masters Thesis, The Ohio State University. Accessed April 17, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1406201257.

MLA Handbook (7th Edition):

Jing, Junbo. “Vehicle Fuel Consumption Optimization using Model Predictive Control based on V2V communication.” 2014. Web. 17 Apr 2021.

Vancouver:

Jing J. Vehicle Fuel Consumption Optimization using Model Predictive Control based on V2V communication. [Internet] [Masters thesis]. The Ohio State University; 2014. [cited 2021 Apr 17]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1406201257.

Council of Science Editors:

Jing J. Vehicle Fuel Consumption Optimization using Model Predictive Control based on V2V communication. [Masters Thesis]. The Ohio State University; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1406201257


Brno University of Technology

16. Heller, Ondřej. Akumulace energie z OZE: Accumulation of Energy from Renewable Energy Sources.

Degree: 2019, Brno University of Technology

 The objective of the first part of master’s thesis is mapping the potential of various types of renewable sources in Europe and Czech Republic, especially… (more)

Subjects/Keywords: Obnovitelné zdroje; akumulace energie; fotovoltaika; větrná elektrárna; vodní elektrárna; biomasa; diskontinuita dodávky; instalovaný výkon; diagram zatížení; kolísání výkonu; elektrochemický článek; stlačený vzduch; superkapacitor; palivový článek; setrvačník; redoxová baterie; predikce výroby; intenzita záření; kapacita akumulátorů; penalizace; návratnost; lokální vliv; systémový vliv; Renewable sources; energy accumulation; photovoltaics; wind power; hydro power; biomass; discontinuity of power supply; installed power; load diagram; power fluctuations; electrochemical cell; compressed air; super-capacitor; fuel cell; flywheel; redox flow battery; prediction of energy generation; solar irradiance; battery capacity; penalization; return of investment; local impact; system impact

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Heller, O. (2019). Akumulace energie z OZE: Accumulation of Energy from Renewable Energy Sources. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/14457

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Heller, Ondřej. “Akumulace energie z OZE: Accumulation of Energy from Renewable Energy Sources.” 2019. Thesis, Brno University of Technology. Accessed April 17, 2021. http://hdl.handle.net/11012/14457.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Heller, Ondřej. “Akumulace energie z OZE: Accumulation of Energy from Renewable Energy Sources.” 2019. Web. 17 Apr 2021.

Vancouver:

Heller O. Akumulace energie z OZE: Accumulation of Energy from Renewable Energy Sources. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Apr 17]. Available from: http://hdl.handle.net/11012/14457.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Heller O. Akumulace energie z OZE: Accumulation of Energy from Renewable Energy Sources. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/14457

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.