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Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/22755| Title: | Agent-based modeling and neural network for residential customer demand response |
| Authors: | Xu, FY Wang, X Lai, LL Lai, CS |
| Keywords: | Residential customer;demand response;agent;neural network;decision making |
| Issue Date: | 2013 |
| Publisher: | IEEE |
| Citation: | Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013, 2013, pp. 1312 - 1316 |
| Abstract: | In this paper, both bottom-up and top-down models for demand response with agent-base approach and neural networks have been investigated. Simulations have been carried out with practical load data from the UK and Canada. Results show that each approach has its advantages and disadvantages depending on difference application scenarios. © 2013 IEEE. |
| URI: | http://bura.brunel.ac.uk/handle/2438/22755 |
| DOI: | http://dx.doi.org/10.1109/SMC.2013.227 |
| ISBN: | 9780769551548 |
| ISSN: | 1062-922X |
| Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | 480.62 kB | Adobe PDF | View/Open |
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