A multi-objective model for scheduling of short-term incentive-based demand response programs offered by electricity retailers
By M. Ghazvini, J. Soares, N. Horta, R. Neves, R. Castro, Zita A. Vale. 2015
135 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/ba8c63a635df49a88a3e1c5b7cfb4863eaaca6e2
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In Electrical and Electronic Engineering
Citations in the corpus
- Incentive-based demand response for smart grid with reinforcement learning and deep neural network (2019, methodology): “Table 3 shows the related parameters of three CUs derived from [9,16,19], including the dissatisfaction cost parameters μn and ωn; the load reduction ranges [K K , min max] and incentive rate bounds [λ λ , min max], which were set to a certain coefficient of the load demand En h , and the minimum wh”
- The values of market-based demand response on improving power system reliability under extreme circumstances (2017, background): “Papers [20, 21, 22] propose several approaches or mechanism that encourages end users 40 to sign up for the right contract and make use of the true value of their flexible demand activities.”