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What is Load Forecasting in Smart Grids about?

This document reviews various load forecasting (LF) techniques and their applications in smart grids (SGs), emphasizing the importance of accurate energy demand predictions for the reliability and efficiency of SGs. It systematically evaluates traditional, clustering-based, AI-based, and time series-based forecasting methods, highlighting that AI techniques, particularly those using machine learning and neural networks, demonstrate superior performance. The paper also discusses the factors affecting LF accu

Author

Mohsin Islam Rifat

Language

EN