Real-Time Price-Based Demand Response Management for Residential Appliances via Stochastic Optimization and Robust Optimization
By Zhi Chen, Lei Wu, Yong Fu. IEEE Transactions on Smart Grid, 2012
739 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/7f0b79c8e3369e8d27f66134872d0caf36eb7ffc
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Electrical and Electronic Engineering
- João P. S. Catalão
- Nikolaos G. Paterakis
- Long Bao Le
- Duong Tung Nguyen
- Ming Zhou
- ShengWei Mei
- Feng Liu
- Ozan Erdinc
In Renewable Energy, Sustainability and the Environment
- Ming Zhou
- ShengWei Mei
- João P. S. Catalão
- Feng Liu
- Long Bao Le
- Ozan Erdinc
- Nikolaos G. Paterakis
- Wei Wei
Citations in the corpus
- From demand response to transactive energy: state of the art (2017, neutral): “References [42, 43] deal with the design load”
- Smart Household Operation Considering Bi-Directional EV and ESS Utilization by Real-Time Pricing-Based DR (2015, background): “[10] and Tsui and Chan [11] developed an optimization strategy for the effective operation of a household”
- Risk-Constrained Profit Maximization for Microgrid Aggregators With Demand Response (2015, methodology): “[11] employed online stochastic programming and robust optimization methods to minimize the total energy cost for residential household wi th flexible loads.”
- Optimal residential community demand response scheduling in smart grid (2018, methodology): “[14] presents a real-time DR management approach for household utilizing stochastic SOC of battery i at hour t optimization and robust optimization.”
- Energy Pricing and Dispatch for Smart Grid Retailers Under Demand Response and Market Price Uncertainty (2015, methodology): “Besides, robust optimization (RO)-based methods for DR management are proposed in [13] and [14], which allow a distribution-free model of the uncertain market prices.”
- Chance-Constrained Generic Energy Storage Operations Under Decision-Dependent Uncertainty (2022, background): “More generally, g could be an affine function based on price elasticity function [4] and h could be a polynomial function.”