Short-Term Load Forecasting using optimized LSTM Networks via Improved Bat Algorithm

Short-term load forecasting plays a preponderant role in the daily basis system's operation and planning. The state- of-the-art comprises a far-reaching set of methodologies, which are traditionally based on time-series analysis and multilayer neural networks. In particular, the existence of co...

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Bibliographic Details
Main Author: Bento, P.M.R. (author)
Other Authors: Pombo, José Álvaro Nunes (author), Mariano, S. (author), Calado, M. Do Rosário (author)
Format: article
Language:eng
Published: 2020
Subjects:
Bat algorithm
Evolutionary long short term memory networks
Gradient descent optimization
Hyperparameters optimization
Short-term load forecasting
Similar day selection
Online Access:http://hdl.handle.net/10400.6/8221
Country:Portugal
Oai:oai:ubibliorum.ubi.pt:10400.6/8221

Internet

http://hdl.handle.net/10400.6/8221

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