The values of market-based demand response on improving power system reliability under extreme circumstances

By Fei Wang, Hanchen Xu, T. Xu, Kangping Li, M. Shafie‐khah, João P. S. Catalão. 2017

222 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/9c116d767aa403c1a20ab73f3d4d84410e7a6ef0

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

1. Neven Duic
2. M. Shafie‐khah
3. João P. S. Catalão
4. Fei Wang

Citations in the corpus

• Generative adversarial networks and convolutional neural networks based weather classification model for day ahead short-term photovoltaic power forecasting (2019, background): “For example, demand response (DR) can shift electricity consumptions in DR event time to improve the flexibility of system operation [6], leverage the demand-side resources through a variety of electricity market mechanisms to balance the active power and enhance system reliability [7], participate ”