Work

Scenario-based stochastic framework for coupled active and reactive power market in smart distribution systems with demand response programs

Year: 2017

Type: article

Source: Renewable Energy

DOI: 10.1016/j.renene.2017.03.010

Authors: Abouzar Samimi, Mehdi Nikzad, Pierluigi Siano

Institutions: Islamic Azad University Boroujerd Branch, Islamic Azad University, Tehran, Islamic Azad University Islamshahr Branch, University of Salerno

Language: English

Topic: Electric Power System Optimization

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure, Climate action

Open Access status: closed

OpenAlex ID: W2592920482

FWCI: 3.123

Cites: 41

Cited by: 59

Related to: 10