A Complex-Valued Neural Network Approach to Time Series Forecasting in Smart Grid Energy Systems
This work is devoted to the application of complex-valued neural networks based on the multilayer neural network with multi-valued neurons (MLMVN) for short-term electrical load forecasting in smart grid energy systems. Accurate forecasting is a critical component of energy management systems, as it...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI AG
2026-05-01
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| Serie: | Energies |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/1996-1073/19/9/2247 |
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