Intelligent Machine Learning With Evolutionary Algorithm Based Short Term Load Forecasting in Power Systems

Intelligent Machine Learning With Evolutionary Algorithm Based Short Term Load Forecasting in Power Systems

Electricity demand forecasting remains a challenging issue for power system scheduling at varying stages of energy sectors. Short Term load forecasting (STLF) plays a vital part in regulated power systems and electricity markets, which is commonly employed to predict the outcomes power failures. Thi...

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Bibliographic Details
Main Authors: Ibrahim M. Mehedi, Hussain Bassi, Muhyaddin J. Rawa, Mohammed Ajour, Abdullah Abusorrah, Mahendiran T. Vellingiri, Zainal Salam, Md. Pauzi Bin Abdullah
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Power systems
short term load forecasting
machine learning
artificial intelligent
evolutionary algorithms
signal decomposition
Online Access:https://ieeexplore.ieee.org/document/9481927/

Internet

https://ieeexplore.ieee.org/document/9481927/

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