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Manuscript Details - IJCIRAS1584

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Paper Id: IJCIRAS1584
Title: ARTIFICIAL NEURAL NETWORKS APPROACH BASED SHORT TERM ELECTRIC LOAD FORECASTING
Published in: International Journal Of Creative and Innovative Research In All Studies
Publisher: IJCIRAS
ISSN: 2581-5334
Volume / Issue: Volume 2 Issue 12
Pages: 7
Published On: 5/25/2020 1:01:24 AM      (MM/dd/yyyy)
Main Author Details
Name: Yan Naung Soe
Institute: Lectruer , University of Computer Studies,Myitkyina
Co - Author Details
Author Name Author Institute
khet khet khaing oo Lectruer , University of Computer Studies,Myitkyina
Abstract
Research Area: Computer Science & Engineering
KeyWord: Electricity Load Forecasting, Short Term Load Forecasting, Artificial Neural Networks, ANN
Abstract: The term load prediction refers to the projected load requirement using systematic process of defining load in sufficient quantitative detail so that vital power system expansion decisions can be made. In recent years, there is an emphasis on Short-Term Load Forecasting (STLF), the essential part of power system planning and operation. Rudimentary operating functions such as unit commitment, economic transmit, and unit preservation can be performed efficiently with a precise forecast. Short-term forecasting can assist in predicting the flow and making decisions that prevent overloading. This paper implements the STLF as a 24-hour forecast whose result is an hourly electric forecast. This paper uses the method of Artificial Neural Network (ANN) to create a STLF process. The inputs to the ANN are load profiles of one month previous days and the weather variables of that days. Correlation analysis between load and weather variables will be used for all predictor input data to the ANN to optimize in size and accuracy. MATLAB programming language is used to implement this system.
Citations
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IEEE
Yan Naung Soe, khet khet khaing oo, "Artificial Neural Networks Approach Based Short Term Electric Load Forecasting", International Journal Of Creative and Innovative Research In All Studies, vol. 2, no. 12, pp. 88-94, 2020.
MLA Yan Naung Soe, khet khet khaing oo "Artificial Neural Networks Approach Based Short Term Electric Load Forecasting." International Journal Of Creative and Innovative Research In All Studies, vol 2, no. 12, 2020, pp. 88-94.
APA Yan Naung Soe, khet khet khaing oo (2020). Artificial Neural Networks Approach Based Short Term Electric Load Forecasting. International Journal Of Creative and Innovative Research In All Studies, 2(12), 88-94.
Artificial Neural Networks Approach Based Short Term Electric Load Forecasting
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