Hybrid Optimization based on Deep Learning Approach for Short-Term Load Forecast of Electricity Demand in Buildings

Hybrid Optimization based on Deep Learning Approach for Short-Term Load Forecast of Electricity Demand in Buildings

Due to the growing popularity of microgrids in buildings, the foreseeable electricity demand for a building draws the attention of many researchers. The precise short-term demand forecast efficiently directs building managers and operators for interactions with electrical distribution systems, daily...

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Bibliographic Details
Main Authors: Charan Sekhar Makula, Ratna Dahiya
Format: Article
Language:English
Published: OICC Press 2024-06-01
Series:Majlesi Journal of Electrical Engineering
Subjects:
Bilateral Long Short Term Memory
Buildings
GWOPSO
Hyperparameter Optimization.
Short Term Load forecast
Online Access:https://oiccpress.com/mjee/article/view/7986
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