An Application of Radial Basis Function Neural Network for Short Term Load Forecasting Solution

• Main Authors: Nurul Faezah, Othman, Mohd Herwan, Sulaiman, Zuriani, Mustaffa
• Format: Article
• Language: English
• Published: American Scientific Publisher 2018
• Subjects: QA76 Computer software; TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/19950/1/39.%20An%20Application%20of%20Radial%20Basis%20Function%20Neural%20Network%20for%20Short%20Term%20Load%20Forecasting%20Solution1.pdf; http://umpir.ump.edu.my/id/eprint/19950/; https://doi.org/10.1166/asl.2018.12973

This paper proposes an approach to solve short term load forecasting (STLF) problem by using radial basis function neural network (RBFNN). STLF is one of the main issues for power system scheduling since it can help the utility company to manage the generation of power system economically and reliab...