A Data-Driven-Based Optimal Planning of Renewable Rich Microgrid System
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-023-08153-5.pdf
Reference37 articles.
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2. Sun, M.; Teng, F.; Konstantelos, I.; Strbac, G.: An objective-based scenario selection method for transmission network expansion planning with multivariate stochasticity in load and renewable energy sources. Energy 145, 871–885 (2018)
3. Xie, H.; Zheng, S.; Ni, M.: Microgrid development in china: a method for renewable energy and energy storage capacity configuration in a megawatt-level isolated microgrid. IEEE Electr. Mag. 5(2), 28–35 (2017)
4. Solanki, B.V.; Bhattacharya, K.; Ca nizares, C.A.: A sustainable energy management system for isolated microgrids. IEEE Trans. Sustain. Energy 8(4), 1507–1517 (2017)
5. [Online]. Available: https://www.epa.gov/ghgemissions/global-greenhouse-gas-emissions-data
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