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From prediction to sustainability: AI for smart energy management in wastewater treatment plants

Abstract In wastewater treatment plants (WWTPs), accurate energy forecasting is crucial for optimizing operations, promoting self- sufficiency, and ensuring sustainability. We compare and evaluate the performance of Machine Learning (ML) techniques for energy self-consumption (i.e., long-term memory...

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Principais autores: Saeed Hamood Alsamhi, Ammar Hawbani, Mohammed A. A. Al-qaness, Niall O’Brolchain, Liang Zhao, Ahmed Al-Dubai, Mamoona Asghar, Redhwan Algabri, Mohsen Guizani
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Portfolio 2025-12-01
coleção:Scientific Reports
Assuntos:
Energy generation
Energy consumption
Self-consumption
Wastewater treatment plants
Sustainability
Transforming energy forecasting
Acesso em linha:https://doi.org/10.1038/s41598-025-28281-2
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