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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| Outros Autores: | , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2020
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.6/8221 |
| País: | Portugal |
| Oai: | oai:ubibliorum.ubi.pt:10400.6/8221 |