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浏览/检索结果: 共6条，第1-6条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Effect of Electricity Feed-in Tariff on the Planning of CCHP Micro-Systems (CPCI-S收录) 会议 作者:  Chen, Peng[1];  Jiang, Zetao[1];  Tang, Zongshun[1];  Guan, Lin[1] 收藏  |  浏览/下载：3/0  |  提交时间：2019/04/11 combined cooling heating and power (CCHP) micro-grid system  electricity feed-in tariff  optimal planning   Effect of electricity feed-in tariff on the planning of CCHP Micro-systems (EI收录) 会议 19-1#, Jiangong Road, Xi'an, China, 作者:  Chen, Peng[1];  Jiang, Zetao[1];  Tang, Zongshun[1];  Guan, Lin[1] 收藏  |  浏览/下载：4/0  |  提交时间：2019/04/11 Cooling  Cooling systems  Economic analysis  Electric energy storage  Electric power system economics  Electric power transmission networks  Equipment   Optimal planning method of CCHP systems considering the energy supply pipe network (EI收录) 会议 19-1#, Jiangong Road, Xi'an, China, 作者:  Tang, Zongshun[1];  Jiang, Zetao[1];  Chen, Peng[1];  Guan, Lin[1] 收藏  |  浏览/下载：9/0  |  提交时间：2019/04/11 Iterative methods  Optimization  Particle swarm optimization (PSO)  Planning   An Optimal Planning Method for Combined Cooling Heating and Power System (EI收录) 会议 Maldives, Maldives, 作者:  Chen, Peng[1];  Guan, Lin[1];  Tang, Zongshun[1];  Chen, Xiaocan[1];  Jiang, Zetao[1] 收藏  |  浏览/下载：1/0  |  提交时间：2019/04/11 Carbon  Cooling  Optimization  Particle swarm optimization (PSO)   Optimal Planning Method of CCHP Systems Considering the Energy Supply Pipe Network (CPCI-S收录) 会议 作者:  Tang, Zongshun[1];  Jiang, Zetao[1];  Chen, Peng[1];  Guan, Lin[1] 收藏  |  浏览/下载：6/0  |  提交时间：2019/04/11 combined cooling heating and power (CCHP)  micro-grid system  energy supply pipe network  combined optimal planning   An optimal planning method for combined cooling heating and power system (CPCI-S收录) 会议 作者:  Chen, Peng[1];  Guan, Lin[1];  Tang, Zongshun[1];  Chen, Xiaocan[1];  Jiang, Zetao[1] 收藏  |  浏览/下载：4/0  |  提交时间：2019/04/11 Combined cooling heating and power microgrid system  Framework  Multi-objective Particle Swarm Optimization method  Interior Point method