A data-driven framework for designing a renewable energy community based on the integration of machine learning model with life cycle assessment and life cycle cost parameters
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DOI: 10.1016/j.apenergy.2024.122619
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References listed on IDEAS
- Parra, David & Norman, Stuart A. & Walker, Gavin S. & Gillott, Mark, 2017. "Optimum community energy storage for renewable energy and demand load management," Applied Energy, Elsevier, vol. 200(C), pages 358-369.
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Keywords
Energy community; Optimization; Machine learning; Life cycle assessment; Life cycle cost; Multi-objective optimization; Multi-criteria decision making;All these keywords.
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