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You searched for subject:(Intra Day Forecasting). One record found.

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1. Bajracharya, Abhilasha. Intra-Day Solar Irradiance Forecasting for Remote Microgrids Using Hidden Markov Model.

Degree: MS, Electrical Engineering and Computer Science, 2019, South Dakota State University

Accurate solar irradiance forecasting is the key to accurate estimation of solar power output at any given time. The accuracy of this information is especially crucial in diesel-PV based remote microgrids with batteries to determine the set points of the batteries and generators for their optimal dispatch. This, in turn, is related directly to the overall operating cost because both an overestimation and an underestimation of the irradiance means additional operating costs for either suddenly ramping up the backup resources or causing under-utilization of the available PV power output. Accurately predicting the solar irradiance is not an easy task because of the sporadic nature of the irradiance that is received at the solar panel surfaces. Handling the dynamic nature of the irradiance pattern requires a strong and flexible model that can precisely capture the irradiance trend in any given location at a given time. Usually, such a robust model requires a lot of input variables like weather data including humidity, temperature, pressure, wind speed, wind direction, etc. and/or large inventory of satellite images of clouds over a long period of time. The expensive sensors and database tools for collecting and storing such huge information may not be installed in remote locations. Therefore, this thesis prioritizes on developing a simple method requiring a minimum input to accurately forecast the solar irradiance for remote microgrids. Advisors/Committee Members: Reinaldo Tonkoski.

Subjects/Keywords: Energy Management System; Hidden Markov Model; Intra-Day Forecasting; Microgrids; Electrical and Computer Engineering; Power and Energy

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

APA (6th Edition):

Bajracharya, A. (2019). Intra-Day Solar Irradiance Forecasting for Remote Microgrids Using Hidden Markov Model. (Masters Thesis). South Dakota State University. Retrieved from https://openprairie.sdstate.edu/etd/3406

Chicago Manual of Style (16th Edition):

Bajracharya, Abhilasha. “Intra-Day Solar Irradiance Forecasting for Remote Microgrids Using Hidden Markov Model.” 2019. Masters Thesis, South Dakota State University. Accessed September 18, 2020. https://openprairie.sdstate.edu/etd/3406.

MLA Handbook (7th Edition):

Bajracharya, Abhilasha. “Intra-Day Solar Irradiance Forecasting for Remote Microgrids Using Hidden Markov Model.” 2019. Web. 18 Sep 2020.

Vancouver:

Bajracharya A. Intra-Day Solar Irradiance Forecasting for Remote Microgrids Using Hidden Markov Model. [Internet] [Masters thesis]. South Dakota State University; 2019. [cited 2020 Sep 18]. Available from: https://openprairie.sdstate.edu/etd/3406.

Council of Science Editors:

Bajracharya A. Intra-Day Solar Irradiance Forecasting for Remote Microgrids Using Hidden Markov Model. [Masters Thesis]. South Dakota State University; 2019. Available from: https://openprairie.sdstate.edu/etd/3406

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