Individualized Short-Term Electric Load Forecasting Using Data-Driven Meta-Heuristic Method Based on LSTM Network

Individualized Short-Term Electric Load Forecasting Using Data-Driven Meta-Heuristic Method Based on LSTM Network

Short-term load forecasting is viewed as one promising technology for demand prediction under the most critical inputs for the promising arrangement of power plant units. Thus, it is imperative to present new incentive methods to motivate such power system operations for electricity management. This...

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Bibliographic Details
Main Authors: Lichao Sun, Hang Qin, Krzysztof Przystupa, Michal Majka, Orest Kochan
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Sensors
Subjects:
short-term load forecasting
meta-heuristic optimization technology
logistic chaos operator
multi-level regulation factor
sine cosine algorithm
recurrent neural network
Online Access:https://www.mdpi.com/1424-8220/22/20/7900

Internet

https://www.mdpi.com/1424-8220/22/20/7900

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