High-Resolution Load Forecasting on Multiple Time Scales Using Long Short-Term Memory and Support Vector Machine

High-Resolution Load Forecasting on Multiple Time Scales Using Long Short-Term Memory and Support Vector Machine

Electricity load prediction is an essential tool for power system planning, operation and management. The critical information it provides can be used by energy providers to maximise power system operation efficiency and minimise system operation costs. Long Short-Term Memory (LSTM) and Support Vect...

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Bibliographic Details
Main Authors: Sizhe Zhang, Jinqi Liu, Jihong Wang
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Energies
Subjects:
load prediction
SVM
LSTM
multiple time scales
Online Access:https://www.mdpi.com/1996-1073/16/4/1806

Internet

https://www.mdpi.com/1996-1073/16/4/1806

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