A robust energy management approach in two-steps ahead using deep learning BiLSTM prediction model and type-2 fuzzy decision-making controller
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Logic,Software
Link
https://link.springer.com/content/pdf/10.1007/s10700-022-09406-y.pdf
Reference25 articles.
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3. Deveci, M., Cali, U., Kucuksari, S., & Erdogan, N. (2020). Interval type-2 fuzzy sets based multi-criteria decision-making model for offshore wind farm development in Ireland. Energy, 198, 117317. https://doi.org/10.1016/j.energy.2020.117317
4. El Bourakadi, D., Yahyaouy, A., & Boumhidi, J. (2018). Multi-agent system based on the extreme learning machine and fuzzy control for intelligent energy management in microgrid. Journal of Intelligent Systems, 29, 877–893. https://doi.org/10.1515/jisys-2018-0125
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