Efficient Energy Planning With Decomposition-Based Evolutionary Neural Networks

Efficient Energy Planning With Decomposition-Based Evolutionary Neural Networks

Load forecasting/prediction is a challenging task in the energy markets that require adequate attention in generating stable and reliable load demand to deal with energy management and planning strategies. Accurate load prediction is critical for electrical power systems operations, but nonlinear lo...

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Bibliographic Details
Main Authors: Tanveer Ahmad, Dongdong Zhang, Wahab Ali Shah
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Evolutionary neural networks
energy forecasting
energy security
selective combination prediction
energy planning models
Online Access:https://ieeexplore.ieee.org/document/9145739/

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