User-expected price-based demand response algorithm for a home-to-grid system
By Xiaohui Li, Seung Ho Hong. 2014
114 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/b104d4222f2a39659c571db74362d74f7c6c160a
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In Electrical and Electronic Engineering
In Renewable Energy, Sustainability and the Environment
Citations in the corpus
- A Real-Time Demand-Response Algorithm for Smart Grids: A Stackelberg Game Approach (2016, background): “Second, the feasibility of including an energy storage system in the SGDR will be investigated; energy storage systems have been shown to improve the performance of real-time DR in [24] and [25].”
- Economic impacts of small-scale own generating and storage units, and electric vehicles under different demand response strategies for smart households (2014, background): “) capacities for transmission and distribution purposes [3].”
- Demand Response for Home Energy Management Using Reinforcement Learning and Artificial Neural Network (2019, background): “Usually, the domestic electric appliances are separated into three main types based on their characteristics and priorities, including non-shiftable, shiftable and controllable loads [6], [24].”