Enhanced Machine-Learning Techniques for Medium-Term and Short-Term Electric-Load Forecasting in Smart Grids

Enhanced Machine-Learning Techniques for Medium-Term and Short-Term Electric-Load Forecasting in Smart Grids

Nowadays, electric load forecasting through a data analytic approach has become one of the most active and emerging research areas. It provides future consumption patterns of electric load. Since there are large fluctuations in both electricity production and use, it is a difficult task to achieve a...

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Bibliographic Details
Main Authors: Sajawal ur Rehman Khan, Israa Adil Hayder, Muhammad Asif Habib, Mudassar Ahmad, Syed Muhammad Mohsin, Farrukh Aslam Khan, Kainat Mustafa
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Energies
Subjects:
smart grid
feature extraction
feature selection
load forecasting
random forest
recursive feature eliminator
Online Access:https://www.mdpi.com/1996-1073/16/1/276

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https://www.mdpi.com/1996-1073/16/1/276

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