Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Modeling and Simulation,Information Systems,Signal Processing,Theoretical Computer Science,Control and Systems Engineering
Reference27 articles.
1. Hong, T., & Fan, S. (2016). Probabilistic electric load forecasting: A tutorial review. International Journal of Forecasting, 32, 914–938.
2. Li, L., Ota, K., & Dong, M. (2017). When Weather Matters: IoT-based Electrical Load Forecasting for Smart Grid. IEEE Communications Magazine, 55, 46–51.
3. Motlagh, N. H., Mohammadrezaei, M., Hunt, J., & Zakeri, B. (2020). Internet of Things (IoT) and the Energy Sector. Energies, 13, 1–27.
4. Jasmin, E., Ahamed, T., & Remani, T. (2018). Residential Load Scheduling With Renewable Generation in the Smart Grid: A Reinforcement Learning Approach. IEEE Systems Journal, 13(3), 3283–3294.
5. Morais, H., Kadar, P., Faria, P., Vale, Z., & Khodr, H. M. (2010). Optimal scheduling of a renewable micro-grid in an isolated load area using mixed-integer linear programming. Renewable Energy, 35(1), 151–156.
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