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Virtual Power Plant Demand-side Energy Assessment Model Combined with GIS
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Shilei LI
Science Technology and Industry | 2025, 25(11) : 1 - 7
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Science Technology and Industry | 2025, 25(11): 1-7
Technology Innovation
Virtual Power Plant Demand-side Energy Assessment Model Combined with GIS
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Shilei LI
Affiliations
  • Tong Fang Smart Energy Co., Ltd., Beijing 100089, China
Published: 2025-06-10
Outline
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In order to make the virtual power plant(VPP) better integrate resources, and then realize product packaging and market transactions, using the natural geographic space attributes of energy resources to combine the demand-side energy of the virtual power plant with GIS(geographic information system) combined, a GIS-based evaluation model for demand-side energy is proposed. The composition of demand-side energy was analyzed, and the index system of the evaluation model was established. The index system of the evaluation model was refined, the common index and difference index were proposed, and the quantification method was given.AHP, entropy weight method and weighted sum are used to realize the calculation method of the standardization of evaluation indicators, the weight of common indicators, the weight of difference indicators and the evaluation model. The evaluation model method was analyzed through the data of 10 regions to provide quantitative methods and scientific support for the construction of virtual power plants for resource optimization aggregation.

geographical information  /  GIS(geographic information system)  /  virtual power plant(VPP)  /  demand-side energy  /  evaluation model
Shilei LI. Virtual Power Plant Demand-side Energy Assessment Model Combined with GIS[J]. Science Technology and Industry, 2025 , 25 (11) : 1 -7 .
Year 2025 volume 25 Issue 11
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  • Receive Date:2024-12-05
  • Online Date:2025-12-12
  • Published:2025-06-10
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  • Received:2024-12-05
Affiliations
    Tong Fang Smart Energy Co., Ltd., Beijing 100089, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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