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:	Nature Portfolio 2025-12-01
Series:	Scientific Reports
Assuntos:	Energy generation Energy consumption Self-consumption Wastewater treatment plants Sustainability Transforming energy forecasting
Acceso en liña:	https://doi.org/10.1038/s41598-025-28281-2
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