A Fuzzy-ANP Approach for Comprehensive Benefit Evaluation of Grid-Side Commercial Storage Project
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Cited by:
- Tian, Yuanyuan & Bai, Libiao & Wei, Lan & Zheng, Kanyin & Zhou, Xinyu, 2022. "Modeling for project portfolio benefit prediction via a GA-BP neural network," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
- Yudong Tan & Guosheng Xie & Yunhao Xiao & Yi Luo & Xintao Xie & Ming Wen, 2022. "Comprehensive Benefit Evaluation of Hybrid Pumped-Storage Power Stations Based on Improved Rank Correlation-Entropy Weight Method," Energies, MDPI, vol. 15(22), pages 1-17, November.
- Bing Wang & Lu Li & Kailei Deng & Haotian Ge & Hanchen Liu, 2022. "Structure Optimization of Academic Disciplines for Universities Featuring Energy under the Roadmap towards Carbon Neutrality: Results from a Hybrid Fuzzy-Based Method," Energies, MDPI, vol. 15(13), pages 1-20, June.
- Faridul Islam & Aviral Kumar Tiwari & Wing-Keung Wong, 2021. "Editorial and Ideas for Research Using Mathematical and Statistical Models for Energy with Applications," Energies, MDPI, vol. 14(22), pages 1-4, November.
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Keywords
large-scale storage projects; comprehensive benefits; business mode; fuzzy-analytic network process;All these keywords.
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