Digital Twin-Based Pump Station Dynamic Scheduling for Energy-Saving Optimization in Water Supply System
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DOI: 10.1007/s11269-024-03791-2
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- Reis, Ana L. & Lopes, Marta A.R. & Andrade-Campos, A. & Henggeler Antunes, Carlos, 2023. "A review of operational control strategies in water supply systems for energy and cost efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).
- Zhuan, Xiangtao & Xia, Xiaohua, 2013. "Optimal operation scheduling of a pumping station with multiple pumps," Applied Energy, Elsevier, vol. 104(C), pages 250-257.
- Luca O. Turci & Jingcheng Wang & Ibrahim Brahmia, 2020. "Adaptive and Improved Multi-population Based Nature-inspired Optimization Algorithms for Water Pump Station Scheduling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(9), pages 2869-2885, July.
- Fei Tao & Qinglin Qi, 2019. "Make more digital twins," Nature, Nature, vol. 573(7775), pages 490-491, September.
- Hong, Sung-Pil & Kim, Taegyoon & Lee, Subin, 2019. "A precision pump schedule optimization for the water supply networks with small buffers," Omega, Elsevier, vol. 82(C), pages 24-37.
- Yasaman Makaremi & Ali Haghighi & Hamid Reza Ghafouri, 2017. "Optimization of Pump Scheduling Program in Water Supply Systems Using a Self-Adaptive NSGA-II; a Review of Theory to Real Application," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(4), pages 1283-1304, March.
- Shengwen Zhou & Shunsheng Guo & Baigang Du & Shuo Huang & Jun Guo, 2022. "A Hybrid Framework for Multivariate Time Series Forecasting of Daily Urban Water Demand Using Attention-Based Convolutional Neural Network and Long Short-Term Memory Network," Sustainability, MDPI, vol. 14(17), pages 1-22, September.
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- Luca Preite & Federico Solari & Giuseppe Vignali, 2025. "Water Management Optimization in Agriculture: a Digital Model Development," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 39(3), pages 1261-1279, February.
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Keywords
Water supply system; Pump station; Digital twin; Dynamic scheduling; Energy saving and consumption reduction;All these keywords.
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