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Titlebook: Decarbonisation and Digitization of the Energy System; Proceedings of the 2 Ashwani Kumar,S. N. Singh,Pradeep Kumar Conference proceedings

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51#
發(fā)表于 2025-3-30 11:37:26 | 只看該作者
52#
發(fā)表于 2025-3-30 15:59:06 | 只看該作者
53#
發(fā)表于 2025-3-30 19:56:26 | 只看該作者
54#
發(fā)表于 2025-3-30 21:31:40 | 只看該作者
55#
發(fā)表于 2025-3-31 03:33:10 | 只看該作者
Nationalstaat und Nationen in Spanien penetration. To overcome this in this paper, a Hybrid GSA-Tabu Multi-Objective Algorithm is proposed for feeder reconfiguration with optimal placement of DG in the distribution system in IEEE 33 bus system and its effectiveness is evaluated by comparing with existing LSA, ALO, CLAMS, and BBO-PSO algorithms.
56#
發(fā)表于 2025-3-31 05:50:51 | 只看該作者
57#
發(fā)表于 2025-3-31 09:59:06 | 只看該作者
Optimal Energy Scheduling and Feasibility Analysis in Microgrid Considering the Hospital Load Modeltermined to combine the energy dispatch and techno-economic analysis. The concerned work has been implemented for obtaining the feasibility analysis of the realistic hospital load model of Vayusenabad, New Delhi, India, using the Hybrid Optimization of GAMS and Multiple Energy Resources (HOMER) software with MATLAB interfacing.
58#
發(fā)表于 2025-3-31 16:07:27 | 只看該作者
59#
發(fā)表于 2025-3-31 18:54:19 | 只看該作者
Variation of Cost in Scheduling of Residential and Commercial Appliances with the Inclusion of Enerrgy consumption with and without considering the EPT. For scheduling of the appliances, two cases are considered, i.e., appliances are scheduled randomly and user preferred duration. For the optimization, mixed-integer linear programming is used, and in that DICOPT solver is used to solve the equations in GAMS software.
60#
發(fā)表于 2025-4-1 00:45:22 | 只看該作者
Multi-objective Hybrid Optimal Algorithm for Distribution System Feeder Reconfiguration, penetration. To overcome this in this paper, a Hybrid GSA-Tabu Multi-Objective Algorithm is proposed for feeder reconfiguration with optimal placement of DG in the distribution system in IEEE 33 bus system and its effectiveness is evaluated by comparing with existing LSA, ALO, CLAMS, and BBO-PSO algorithms.
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