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You searched for subject:(solar irradiance forecasting). Showing records 1 – 8 of 8 total matches.

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Michigan Technological University

1. Kantamneni, Abhilash. TOWARDS A GENERIC ONTOLOGY FOR SOLAR IRRADIANCE FORECASTING.

Degree: MS, Department of Computer Science, 2016, Michigan Technological University

  The growth of solar energy resources in recent years has led to increased calls for accurate forecasts of solar irradiance for the reliable and… (more)

Subjects/Keywords: Solar; Forecasting; Ontology; Knowledge Systems; Knowledge Engineering; Irradiance; Computer Engineering; Engineering

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

APA (6th Edition):

Kantamneni, A. (2016). TOWARDS A GENERIC ONTOLOGY FOR SOLAR IRRADIANCE FORECASTING. (Masters Thesis). Michigan Technological University. Retrieved from http://digitalcommons.mtu.edu/etdr/177

Chicago Manual of Style (16th Edition):

Kantamneni, Abhilash. “TOWARDS A GENERIC ONTOLOGY FOR SOLAR IRRADIANCE FORECASTING.” 2016. Masters Thesis, Michigan Technological University. Accessed August 08, 2020. http://digitalcommons.mtu.edu/etdr/177.

MLA Handbook (7th Edition):

Kantamneni, Abhilash. “TOWARDS A GENERIC ONTOLOGY FOR SOLAR IRRADIANCE FORECASTING.” 2016. Web. 08 Aug 2020.

Vancouver:

Kantamneni A. TOWARDS A GENERIC ONTOLOGY FOR SOLAR IRRADIANCE FORECASTING. [Internet] [Masters thesis]. Michigan Technological University; 2016. [cited 2020 Aug 08]. Available from: http://digitalcommons.mtu.edu/etdr/177.

Council of Science Editors:

Kantamneni A. TOWARDS A GENERIC ONTOLOGY FOR SOLAR IRRADIANCE FORECASTING. [Masters Thesis]. Michigan Technological University; 2016. Available from: http://digitalcommons.mtu.edu/etdr/177


Tampere University

2. Gabás Royo, Alberto Eduardo. Solar Irradiance Forecasting Using Neural Networks .

Degree: 2019, Tampere University

 Accurate solar irradiance forecasting is essential for minimizing operational costs of solar photovoltaic (PV) generation as it is commonly used to predict the power output.… (more)

Subjects/Keywords: Neural Networks; Solar Irradiance; Forecasting; Machine learning; Prediction

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APA (6th Edition):

Gabás Royo, A. E. (2019). Solar Irradiance Forecasting Using Neural Networks . (Masters Thesis). Tampere University. Retrieved from https://trepo.tuni.fi/handle/10024/116826

Chicago Manual of Style (16th Edition):

Gabás Royo, Alberto Eduardo. “Solar Irradiance Forecasting Using Neural Networks .” 2019. Masters Thesis, Tampere University. Accessed August 08, 2020. https://trepo.tuni.fi/handle/10024/116826.

MLA Handbook (7th Edition):

Gabás Royo, Alberto Eduardo. “Solar Irradiance Forecasting Using Neural Networks .” 2019. Web. 08 Aug 2020.

Vancouver:

Gabás Royo AE. Solar Irradiance Forecasting Using Neural Networks . [Internet] [Masters thesis]. Tampere University; 2019. [cited 2020 Aug 08]. Available from: https://trepo.tuni.fi/handle/10024/116826.

Council of Science Editors:

Gabás Royo AE. Solar Irradiance Forecasting Using Neural Networks . [Masters Thesis]. Tampere University; 2019. Available from: https://trepo.tuni.fi/handle/10024/116826

3. Shakya, Ayush. Implementation of Solar Irradiance Forecasting Using Markov Switching Model and Energy Management System.

Degree: MS, Electrical Engineering and Computer Science, 2016, South Dakota State University

  Photovoltaic (PV) systems integration is increasingly being used to reduce fuel consumption in diesel-based remote microgrids. However, uncertainty and low correlation of PV power… (more)

Subjects/Keywords: Clear Sky Irradiance Energy Management System Fourier Basis Expansion OPAL-RT; Real-time Digital Simulator; solar irradiance forecasting; Electrical and Computer Engineering; Power and Energy

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APA (6th Edition):

Shakya, A. (2016). Implementation of Solar Irradiance Forecasting Using Markov Switching Model and Energy Management System. (Masters Thesis). South Dakota State University. Retrieved from http://openprairie.sdstate.edu/etd/1068

Chicago Manual of Style (16th Edition):

Shakya, Ayush. “Implementation of Solar Irradiance Forecasting Using Markov Switching Model and Energy Management System.” 2016. Masters Thesis, South Dakota State University. Accessed August 08, 2020. http://openprairie.sdstate.edu/etd/1068.

MLA Handbook (7th Edition):

Shakya, Ayush. “Implementation of Solar Irradiance Forecasting Using Markov Switching Model and Energy Management System.” 2016. Web. 08 Aug 2020.

Vancouver:

Shakya A. Implementation of Solar Irradiance Forecasting Using Markov Switching Model and Energy Management System. [Internet] [Masters thesis]. South Dakota State University; 2016. [cited 2020 Aug 08]. Available from: http://openprairie.sdstate.edu/etd/1068.

Council of Science Editors:

Shakya A. Implementation of Solar Irradiance Forecasting Using Markov Switching Model and Energy Management System. [Masters Thesis]. South Dakota State University; 2016. Available from: http://openprairie.sdstate.edu/etd/1068

4. ALOYSIUS WISHNU ARYAPUTERA. SOLAR IRRADIANCE FORECASTING AND MODELING FOR SMART CITIES WITH HIGH PHOTOVOLTAIC PENETRATION.

Degree: 2016, National University of Singapore

Subjects/Keywords: Irradiance forecasting; irradiance variability; solar energy; renewable energy; NWP; kriging

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APA (6th Edition):

ARYAPUTERA, A. W. (2016). SOLAR IRRADIANCE FORECASTING AND MODELING FOR SMART CITIES WITH HIGH PHOTOVOLTAIC PENETRATION. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/135171

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):

ARYAPUTERA, ALOYSIUS WISHNU. “SOLAR IRRADIANCE FORECASTING AND MODELING FOR SMART CITIES WITH HIGH PHOTOVOLTAIC PENETRATION.” 2016. Thesis, National University of Singapore. Accessed August 08, 2020. http://scholarbank.nus.edu.sg/handle/10635/135171.

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

MLA Handbook (7th Edition):

ARYAPUTERA, ALOYSIUS WISHNU. “SOLAR IRRADIANCE FORECASTING AND MODELING FOR SMART CITIES WITH HIGH PHOTOVOLTAIC PENETRATION.” 2016. Web. 08 Aug 2020.

Vancouver:

ARYAPUTERA AW. SOLAR IRRADIANCE FORECASTING AND MODELING FOR SMART CITIES WITH HIGH PHOTOVOLTAIC PENETRATION. [Internet] [Thesis]. National University of Singapore; 2016. [cited 2020 Aug 08]. Available from: http://scholarbank.nus.edu.sg/handle/10635/135171.

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

Council of Science Editors:

ARYAPUTERA AW. SOLAR IRRADIANCE FORECASTING AND MODELING FOR SMART CITIES WITH HIGH PHOTOVOLTAIC PENETRATION. [Thesis]. National University of Singapore; 2016. Available from: http://scholarbank.nus.edu.sg/handle/10635/135171

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

5. YANG DAZHI. Solar irradiance modeling and forecasting using novel statistical techniques.

Degree: 2014, National University of Singapore

Subjects/Keywords: solar irradiance; modeling; forecasting; spatio-temporal; monitoring network; statistics

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APA (6th Edition):

DAZHI, Y. (2014). Solar irradiance modeling and forecasting using novel statistical techniques. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/118900

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):

DAZHI, YANG. “Solar irradiance modeling and forecasting using novel statistical techniques.” 2014. Thesis, National University of Singapore. Accessed August 08, 2020. http://scholarbank.nus.edu.sg/handle/10635/118900.

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

MLA Handbook (7th Edition):

DAZHI, YANG. “Solar irradiance modeling and forecasting using novel statistical techniques.” 2014. Web. 08 Aug 2020.

Vancouver:

DAZHI Y. Solar irradiance modeling and forecasting using novel statistical techniques. [Internet] [Thesis]. National University of Singapore; 2014. [cited 2020 Aug 08]. Available from: http://scholarbank.nus.edu.sg/handle/10635/118900.

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

Council of Science Editors:

DAZHI Y. Solar irradiance modeling and forecasting using novel statistical techniques. [Thesis]. National University of Singapore; 2014. Available from: http://scholarbank.nus.edu.sg/handle/10635/118900

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

6. DONG ZIBO. SOLAR IRRADIANCE FORECASTING FOR TROPICAL REGIONS USING NOVEL STATISTICAL ANALYSIS AND MACHINE LEARNING.

Degree: 2016, National University of Singapore

Subjects/Keywords: solar; irradiance; forecasting; tropical regions; statistical analysis; machine learning

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

APA (6th Edition):

ZIBO, D. (2016). SOLAR IRRADIANCE FORECASTING FOR TROPICAL REGIONS USING NOVEL STATISTICAL ANALYSIS AND MACHINE LEARNING. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/129149

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):

ZIBO, DONG. “SOLAR IRRADIANCE FORECASTING FOR TROPICAL REGIONS USING NOVEL STATISTICAL ANALYSIS AND MACHINE LEARNING.” 2016. Thesis, National University of Singapore. Accessed August 08, 2020. http://scholarbank.nus.edu.sg/handle/10635/129149.

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

MLA Handbook (7th Edition):

ZIBO, DONG. “SOLAR IRRADIANCE FORECASTING FOR TROPICAL REGIONS USING NOVEL STATISTICAL ANALYSIS AND MACHINE LEARNING.” 2016. Web. 08 Aug 2020.

Vancouver:

ZIBO D. SOLAR IRRADIANCE FORECASTING FOR TROPICAL REGIONS USING NOVEL STATISTICAL ANALYSIS AND MACHINE LEARNING. [Internet] [Thesis]. National University of Singapore; 2016. [cited 2020 Aug 08]. Available from: http://scholarbank.nus.edu.sg/handle/10635/129149.

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

Council of Science Editors:

ZIBO D. SOLAR IRRADIANCE FORECASTING FOR TROPICAL REGIONS USING NOVEL STATISTICAL ANALYSIS AND MACHINE LEARNING. [Thesis]. National University of Singapore; 2016. Available from: http://scholarbank.nus.edu.sg/handle/10635/129149

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


Georgia Southern University

7. Nutter, Christopher. Solar Irradiance Forecasting and Implications for Domestic Electric Water Heating.

Degree: MSin Applied Engineering (M.S.A.E.), Department of Mechanical Engineering, 2017, Georgia Southern University

  As the effects of burning fossil fuels continues to present its prevalence, the interests in alternative forms of energy is expanding. Within the home,… (more)

Subjects/Keywords: Artificial neural network; NAR networks; NARX networks; Solar irradiance forecasting; Domestic electric water heating; Photovoltaics; Electrical and Electronics; Energy Systems; Power and Energy; Jack N. Averitt College of Graduate Studies, Electronic Theses & Dissertations, ETDs, Student Research

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APA (6th Edition):

Nutter, C. (2017). Solar Irradiance Forecasting and Implications for Domestic Electric Water Heating. (Masters Thesis). Georgia Southern University. Retrieved from https://digitalcommons.georgiasouthern.edu/etd/1694

Chicago Manual of Style (16th Edition):

Nutter, Christopher. “Solar Irradiance Forecasting and Implications for Domestic Electric Water Heating.” 2017. Masters Thesis, Georgia Southern University. Accessed August 08, 2020. https://digitalcommons.georgiasouthern.edu/etd/1694.

MLA Handbook (7th Edition):

Nutter, Christopher. “Solar Irradiance Forecasting and Implications for Domestic Electric Water Heating.” 2017. Web. 08 Aug 2020.

Vancouver:

Nutter C. Solar Irradiance Forecasting and Implications for Domestic Electric Water Heating. [Internet] [Masters thesis]. Georgia Southern University; 2017. [cited 2020 Aug 08]. Available from: https://digitalcommons.georgiasouthern.edu/etd/1694.

Council of Science Editors:

Nutter C. Solar Irradiance Forecasting and Implications for Domestic Electric Water Heating. [Masters Thesis]. Georgia Southern University; 2017. Available from: https://digitalcommons.georgiasouthern.edu/etd/1694

8. Kurzrock, Frederik. Assimilation de données satellitaires géostationnaires dans des modèles atmosphériques à aire limitée pour la prévision du rayonnement solaire en région tropicale : Geostationary satellite data assimilation with limited-area models for tropical solar irradiance forecasting.

Degree: Docteur es, Physique atmosphérique, 2019, Université de la Réunion

 La variabilité de l’énergie solaire impose de limiter sa fraction d’injection instantanée dans le réseau électrique. Une amélioration des prévisions de l’ensoleillement conduirait à élever… (more)

Subjects/Keywords: Assimilation de données satellitaires; Prévision de l'irradiance solaire; Prévision numérique du temps; Modèle à aire limitée; Observations de satellites météorologiques géostationnaires; Milieu tropical; Satellite data assimilation; Solar irradiance forecasting; Numerical weather prediction; Limited-area models; Geostationary meteorological satellite observations; Tropical environment

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APA (6th Edition):

Kurzrock, F. (2019). Assimilation de données satellitaires géostationnaires dans des modèles atmosphériques à aire limitée pour la prévision du rayonnement solaire en région tropicale : Geostationary satellite data assimilation with limited-area models for tropical solar irradiance forecasting. (Doctoral Dissertation). Université de la Réunion. Retrieved from http://www.theses.fr/2019LARE0013

Chicago Manual of Style (16th Edition):

Kurzrock, Frederik. “Assimilation de données satellitaires géostationnaires dans des modèles atmosphériques à aire limitée pour la prévision du rayonnement solaire en région tropicale : Geostationary satellite data assimilation with limited-area models for tropical solar irradiance forecasting.” 2019. Doctoral Dissertation, Université de la Réunion. Accessed August 08, 2020. http://www.theses.fr/2019LARE0013.

MLA Handbook (7th Edition):

Kurzrock, Frederik. “Assimilation de données satellitaires géostationnaires dans des modèles atmosphériques à aire limitée pour la prévision du rayonnement solaire en région tropicale : Geostationary satellite data assimilation with limited-area models for tropical solar irradiance forecasting.” 2019. Web. 08 Aug 2020.

Vancouver:

Kurzrock F. Assimilation de données satellitaires géostationnaires dans des modèles atmosphériques à aire limitée pour la prévision du rayonnement solaire en région tropicale : Geostationary satellite data assimilation with limited-area models for tropical solar irradiance forecasting. [Internet] [Doctoral dissertation]. Université de la Réunion; 2019. [cited 2020 Aug 08]. Available from: http://www.theses.fr/2019LARE0013.

Council of Science Editors:

Kurzrock F. Assimilation de données satellitaires géostationnaires dans des modèles atmosphériques à aire limitée pour la prévision du rayonnement solaire en région tropicale : Geostationary satellite data assimilation with limited-area models for tropical solar irradiance forecasting. [Doctoral Dissertation]. Université de la Réunion; 2019. Available from: http://www.theses.fr/2019LARE0013

.