A Spatial Long-Term Load Forecast Using a Multiple Delineated Machine Learning Approach

A Spatial Long-Term Load Forecast Using a Multiple Delineated Machine Learning Approach

Maintaining a balance between electricity generation and consumption is vital for ensuring grid stability and preventing disruptions. Spatial load forecasting (SLF) predicts geographical electricity demand, thereby aiding in power system planning. However, conventional methods like multiple linear r...

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Bibliographic Details
Main Authors:	Terence Kibula Lukong, Derick Nganyu Tanyu, Yannick Nkongtchou, Thomas Tamo Tatietse, Detlef Schulz
Format:	Article
Language:	English
Published:	MDPI AG 2025-05-01
Series:	Energies
Subjects:	spatial load forecasting network planning LSTM model
Online Access:	https://www.mdpi.com/1996-1073/18/10/2484
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