A prediction model by analyzing the user’s return behavior in incentive based reply
Author:
Publisher
AIP Publishing
Link
http://aip.scitation.org/doi/pdf/10.1063/5.0117554
Reference19 articles.
1. Assessing Increased Flexibility of Energy Storage and Demand Response to Accommodate a High Penetration of Renewable Energy Sources
2. P. Valtonen, G. Mendes, and S. Honkapuro, ``Demand response for increased grid _exibility: The case of Finland,’’ in Proc. ISGT-Asia, Auckland, New Zealand, Dec. 2017.
3. R. Pillai, G. Ghatikar, and A. Ahuja, ``Integration of multivariate distributed energy resources for demand response: Applications in the Indian scenarios,’’ CIRED Proc. J, vol. 2017, no. 1, pp. 1849–1852, 2017.
4. An overview of Demand Response: Key-elements and international experience
5. An Incentive-Based Demand Response (DR) Model Considering Composited DR Resources
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