Hybrid Modified Particle Swarm Optimization and Adaptive Neuro-Fuzzy Inference System for Electric Power Consumption Prediction
Load forecasting is crucial in power system energy management, aiding planning and operations. The latest modified forecasting methods are important for best prediction of the electric power consumption of the load which nowadays are not practically implemented. As a result, hybrid modified particle...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Wiley
2025-01-01
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| Serie: | International Journal of Photoenergy |
| Accesso online: | http://dx.doi.org/10.1155/ijph/4715427 |
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