[1] A. Q. Huang, "Renewable energy system research and education at the NSF FREEDM systems center," in 2009 IEEE Power & Energy Society General Meeting, IEEE, pp. 1-6, 2009.
[2] M. A. Shirazi, S. M. Moezzi, N. Arzaghi, and H. Yousefi, "Solar Energy Development Trends and Climate Impacts on its Performance in Iran: A Comparative Analysis," Results in Engineering, vol. 30, p. 111229, 2026.
[3] M. A. Allahrabbi Shirazi, A. Goldoust, M. Khatami, E. Abedi, and M. H. Janfeshan, "Modeling and simulation of a solar tracker with bifacial panel: a case study of Tehran city," Journal of Sustainable Energy Systems, vol. 3, no. 3, pp. 271-287, 2024.
[4] R. S. M. A. Allah, "Idea generation and examination of environmental challenges of floating solar photovoltaic power plants on wetlands and its economic advantage for local communities," Journal of sustainable Energy Systems, vol. 3, no. 1, pp. 39-51, 2024.
[5] J. F. Manwell, J. G. McGowan, and A. L. Rogers, Wind energy explained: theory, design and application. John Wiley & Sons, 2010.
[7] L. Han, C. E. Romero, X. Wang, and L. Shi, "Economic dispatch considering the wind power forecast error," IET Generation, Transmission & Distribution, vol. 12, no. 12, pp. 2861-2870, 2018.
[8] H. Lu, X. Gao, Z. Xu, H. Xiao, Y. Gao, H. Zhang, H. Ma, Y. Zhu, X. Zhu, and Y Wang, "Wind direction prediction combined with wind speed in a wind farm," Energy, vol. 333, p. 137334, 2025.
[9] H. Liang, Y. Liu, Y. Shen, F. Li, and Y. Man, "A hybrid bat algorithm for economic dispatch with random wind power," IEEE Transactions on Power Systems, vol. 33, no. 5, pp. 5052-5061, 2018.
[10] A. M. Shaheen, A. R. Ginidi, R. A. El-Sehiemy, and E. E. Elattar, "Optimal economic power and heat dispatch in Cogeneration Systems including wind power," Energy, vol. 225, p. 120263, 2021.
[11] J. Wu, Y. Liu, X. Chen, C. Wang, and W. Li, "Data-driven adjustable robust Day-ahead economic dispatch strategy considering uncertainties of wind power generation and electric vehicles," International Journal of Electrical Power & Energy Systems, vol. 138, p. 107898, 2022.
[12] H. Berahmandpour, S. M. Kouhsari, and H. Rastegar, "A new flexibility based probabilistic economic load dispatch solution incorporating wind power," International Journal of Electrical Power & Energy Systems, vol. 135, p. 107546, 2022.
[13] Y. Zeng, C. Li, and H. Wang, "Scenario-set-based economic dispatch of power system with wind power and energy storage system," IEEE access, vol. 8, pp. 109105-109119, 2020.
[14] X. Zhang, Z. Han, C. Zhao, and J. Zhong, "Multi‐objective economic dispatch of power system with wind farm considering flexible load response," International Journal of Energy Research, vol. 45, no. 6, pp. 8735-8748, 2021.
[15] F. A. Gers, J. Schmidhuber, and F. Cummins, "Learning to forget: Continual prediction with LSTM," Neural computation, vol. 12, no. 10, pp. 2451-2471, 2000.
[16] A. Graves, "Long short-term memory," Supervised sequence labelling with recurrent neural networks, pp. 37-45, 2012, (Book Chapter).
[17] K. Yadav, P. Soram, S. Bijlwan, B. Goyal, A. Dogra, and D. C. Lepcha, "Dynamic economic load dispatch problem in power system using iterative genetic algorithm," in 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA), IEEE, pp. 1629-1632, 2023.
[18] S. Sivanandam and S. Deepa, "Genetic algorithms," in Introduction to genetic algorithms: Springer, pp. 15-37, 2008.
[19] J. Zhang, J. Zhang, F. Zhang, M. Chi, and L. Wan, "An improved symbiosis particle swarm optimization for solving economic load dispatch problem," Journal of Electrical and Computer Engineering, vol. 2021, no. 1, p. 8869477, 2021.
[20] F. Marini and B. Walczak, "Particle swarm optimization (PSO). A tutorial," Chemometrics and intelligent laboratory systems, vol. 149, pp. 153-165, 2015.
[21] J. Sun, V. Palade, X.-J. Wu, W. Fang, and Z. Wang, "Solving the power economic dispatch problem with generator constraints by random drift particle swarm optimization," IEEE Transactions on Industrial Informatics, vol. 10, no. 1, pp. 222-232, 2013.
[22] A. Patton, "Copula methods for forecasting multivariate time series," Handbook of economic forecasting, vol. 2, pp. 899-960, 2013.
[23] M. Xie, J. Xiong, S. Ke, and M. Liu, "Two-stage compensation algorithm for dynamic economic dispatching considering copula correlation of multiwind farms generation," IEEE Transactions on Sustainable Energy, vol. 8, no. 2, pp. 763-771, 2016.
[24] J. Zhang, M. Zhang, H. Liu, and H. Wang, "Bayesian updating for Copula-based joint probability modeling of wind speed, wind direction, and air temperature under parameter uncertainty," Probabilistic Engineering Mechanics, vol. 85, p. 103985, 2026.
[25] A. B. Kunya, A. S. Abubakar, and S. S. Yusuf, "Review of economic dispatch in multi-area power system: State-of-the-art and future prospective," Electric Power Systems Research, vol. 217, p. 109089, 2023.
[28] A. Saifoddin, N. Mirzaei, M. Allahrabbi Shirazi, and H. Yousefi, "Comparative Applications of Supervised and Unsupervised Machine Learning Models in Energy Systems," Journal of Energy Management and Technology, vol. 9, no. 4, pp. 284-290, 2025.
[29] A. Naziri, A. R. Tahavvor, M. A. Shirazi, and R. Zahedi, "Feasibility study on heat recovery from gas turbine exhaust for absorption chiller operation and efficiency enhancement using neural networks," Thermal Science and Engineering Progress, vol. 67, p. 104210, 2025.
[30] P. K. Pathak, A. K. Yadav, R. Abbassi, and S. Mirjalili, "Metaheuristics-Driven Smart Grid for Economic Dispatch and Optimal Power Flow Solutions: A Critical Review: PK Pathak et al," Archives of Computational Methods in Engineering, vol. 33, no. 1, pp. 917-961, 2026.
