Multi-Sequence LSTM-RNN Deep Learning and Metaheuristics for Electric Load Forecasting

Multi-Sequence LSTM-RNN Deep Learning and Metaheuristics for Electric Load Forecasting

Short term electric load forecasting plays a crucial role for utility companies, as it allows for the efficient operation and management of power grid networks, optimal balancing between production and demand, as well as reduced production costs. As the volume and variety of energy data provided by...

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Bibliographic Details
Main Authors: Salah Bouktif, Ali Fiaz, Ali Ouni, Mohamed Adel Serhani
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Energies
Subjects:
long short-term memory (lstm)
genetic algorithm (ga)
particle swarm optimization (pso)
time series
energy forecasting
Online Access:https://www.mdpi.com/1996-1073/13/2/391

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https://www.mdpi.com/1996-1073/13/2/391

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