Information material

In this section you find more information material about the ResNRJwater project, such as a short presentation to see "ResNRJwater in a nutshell" and a list of publications from our partners and associates. 

This section is constantly updated, so it´s worth to check out the content every once in a while. 

Find a detailed description of the project outlines and the deliverables within a compact pdf for download here:




List of publications

Alsamhi, S.H., Hawbani, A., Al-qaness, M.A.A. et al.: From prediction to sustainability: AI for smart energy management in wastewater treatment plants. Sci Rep 15, 44598 (2025), DOI 10.1038/s41598-025-28281-2, From prediction to sustainability: AI for smart energy management in wastewater treatment plants | Scientific Reports

Alsamhi S. H., Hawbani A., Rowan N. J., Asghar M. N., O'Brolchain N. and Clifford E.: AI-Empowered ClimateClean: Wastewater-to-Energy Solutions for a Resilient and Sustainable Future. 4th International Conference on Computing and Information Technology (ICCIT), Tabuk, Saudi Arabia (2025), DOI 10.1109/ICCIT63348.2025.10989486, AI-Empowered ClimateClean: Wastewater-to-Energy Solutions for a Resilient and Sustainable Future | IEEE Conference Publication | IEEE Xplore

Ooms K., Schülling I.: Windkraft für die Wasserwirtschaft – Planung, Energiemanagement und wirtschaftliche Bewertung am Beispiel Kläranlage, DWA Seminar Energie auf Kläranlagen Modul 1: Energieeinsparungspotenziale auf Kläranlagen, online (2026)

Ploteau M.-E.: EU-Projekt ResNRJwater erforscht Nutzung und Erzeugung erneuerbarer Energien in der Wasserwirtschaft. Geschäfts- und Nachhaltigkeitsbericht Lippeverband 2023/2024 (2024),  20240716_Geschaeftsbericht_2023_2024_LV_Web.pdf

Saleh H., Mostafa S., El-Sappagh S., AlMohimeed A., McCann M., Alsamhi S. H., O’Brolchain N., Breslin J. G., E. Saleh M.: Toward sustainable wastewater treatment: Transformer ensembles and multitask learning for energy consumption and quality management; Elsevier (2025); DOI 10.1016/j.engappai.2025.112338, Toward sustainable wastewater treatment: Transformer ensembles and multitask learning for energy consumption and quality management - ScienceDirect