Abstract
At present, with the acceleration of energy transformation and the deepening of power market reform, power service presents new development trends in China. Considering user selection behavior, IES package which fits the actual energy consumption behavior of customers is employed to help power service provider to further gain dominance and more profit in the electricity market. The multi-dimensional energy-using behavior is identified through user portrait, and the service adapting matrix is determined by Delphi method. The multi-dimensional vector and the adapting matrix are combined fuzzily to obtain the service matching vector, which is adopted as the standard of user classification. Then, the selection behavior of different user groups is estimated based on MNL rule. Moreover, the package evaluation model is established with the objective function of maximizing the benefit of power service provider. Finally, the feasibility of the IES package in a tiered manner is verified through example calculation based on five integrated energy services.
| Original language | English |
|---|---|
| Title of host publication | 2021 International Conference on Intelligent Technology and Embedded Systems, ICITES 2021 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 197-203 |
| Number of pages | 7 |
| ISBN (Electronic) | 9781665427555 |
| DOIs | |
| State | Published - 2021 |
| Externally published | Yes |
| Event | 2021 International Conference on Intelligent Technology and Embedded Systems, ICITES 2021 - Chengdu, China Duration: 30 Oct 2021 → 2 Nov 2021 |
Publication series
| Name | 2021 International Conference on Intelligent Technology and Embedded Systems, ICITES 2021 |
|---|
Conference
| Conference | 2021 International Conference on Intelligent Technology and Embedded Systems, ICITES 2021 |
|---|---|
| Country/Territory | China |
| City | Chengdu |
| Period | 30/10/21 → 2/11/21 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Integrated energy service
- customer classification
- user selection behavior
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