Enhancing grid stability and efficiency in buildings through forecasting and intelligent energy management of distributed energy resources
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00202-024-02453-1.pdf
Reference30 articles.
1. Aurangzeb K (2019) Short term power load forecasting using machine learning models for energy management in a smart community. In: 2019 international conference on computer and information sciences (ICCIS). IEEE, pp 1–6
2. Alhussein M, Haider SI, Aurangzeb K (2019) Micro grid-level energy management approach based on short-term forecasting of wind speed and solar irradiance. Energies 12(8):1487
3. Muttaqi KM, Sutanto D (2021) Adaptive and predictive energy management strategy for real-time optimal power dispatch from VPPs integrated with renewable energy and energy storage. IEEE Trans Ind Appl 57(3):1958–1972
4. Yuan D, Lu Z, Zhang J, Li X (2019) A hybrid prediction-based micro grid energy management strategy considering demand-side response and data interruption. Int J Electr Power Energy Syst 113:139–153
5. Darshi R, Shamaghdari S, Jalali A, Arasteh H (2023) Decentralized energy management system for smart microgrids using reinforcement learning. IET Gener Transm Distrib 17(9):2142–2155
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