Abstract
Customer baseline load estimation is the basis of Demand Response(DR) for it decides the DR performance evaluation and financial settlement of customer participation. The accurate estimation of baseline load is hard because of complexity and uncertainty of customer behavior. Besides, baseline load is an ideal load which cannot be metered in reality. This paper proposed a data driven Fuzzy C Means(FCM) based baseline load estimation method. The fuzzy characteristics of customer electricity consumption behavior is adequately considered and the complex factors of customer behavior are implicitly considered. The proposed method has high accuracy compared to conventional methods.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 2021 IEEE 4th International Electrical and Energy Conference, CIEEC 2021 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728171494 |
| DOIs | |
| State | Published - 28 May 2021 |
| Event | 4th IEEE China International Electrical and Energy Conference, CIEEC 2021 - Wuhan, China Duration: 28 May 2021 → 30 May 2021 |
Publication series
| Name | Proceedings of 2021 IEEE 4th International Electrical and Energy Conference, CIEEC 2021 |
|---|
Conference
| Conference | 4th IEEE China International Electrical and Energy Conference, CIEEC 2021 |
|---|---|
| Country/Territory | China |
| City | Wuhan |
| Period | 28/05/21 → 30/05/21 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- baseline load estimation
- data driven
- demand response
- fuzzy c means
- machine learning
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