Hourly Electricity Demand Response in the Stochastic Day-Ahead Scheduling of Coordinated Electricity and Natural Gas Networks
By Xiaping Zhang, Mohammad Shahidehpour, Ahmed Alabdulwahab, Abdullah M. Abusorrah. IEEE Transactions on Power Systems, 2016
276 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/9fb63cd08e8126186fb49099db53b88932123019
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
- Xiuli Wang
- Chengcheng Shao
- Xifan Wang
- Biyang Wang
- Guoqing Li
- Qiuwei Wu
- Tao Jiang
- Mohammad Shahidehpour
Citations in the corpus
- An MILP-Based Optimal Power Flow in Multicarrier Energy Systems (2017, methodology): “The case studies are carried out on the modified 6-bus and the IEEE-118 systems [5], [21] to illustrate the efficiency and the validity of the proposed method.”
- Security-constrained bi-level economic dispatch model for integrated natural gas and electricity systems considering wind power and power-to-gas process (2017, background): “For the optimal operation of integrated natural gas and electricity systems, the studies on single- or multiple-period operational optimization are investigated in [3,4,7,8,13,14,15].”
- Distributed Multi-Energy Operation of Coupled Electricity, Heating, and Natural Gas Networks (2020, methodology): “Here, the forecasting uncertainties of wind energy as well as electricity/heat demand are captured using Monte Carlo scenario technique with assuming these forecasting errors follow a normal distribution [13], and five typical performance metrics, including the best value, worst value, average value”