Demand Response Resource Allocation Method Using Mean-Variance Portfolio Theory for Load Aggregators in the Korean Demand Response Market-Reference-Cited by-同舟云学术

Demand Response Resource Allocation Method Using Mean-Variance Portfolio Theory for Load Aggregators in the Korean Demand Response Market

Published:2017-06-29 Issue:7 Volume:10 Page:879
ISSN:1996-1073
Container-title:Energies
language:en
Short-container-title:Energies

Author:

Chae Jaeyong,Joo Sung-Kwan

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous)

Link

http://www.mdpi.com/1996-1073/10/7/879/pdf

Reference17 articles.

1. PORTFOLIO SELECTION*

2. A PORTFOLIO APPROACH TO FOSSIL FUEL PROCUREMENT IN THE ELECTRIC UTILITY INDUSTRY

3. Applying Portfolio Theory to EU Electricity Planning and Policy-Making;Awerbuch,2003

4. Application of Portfolio Analysis to the Dutch Generating Mix;Jansen,2006

5. Applying portfolio theory to the electricity sector: Energy versus power

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Conditional-Robust-Profit-Based Decision Model for Flexible Contract between Electricity Retailer and Customer;2022 IEEE 5th International Electrical and Energy Conference (CIEEC);2022-05-27

2. Impact of Demand Response on Optimal Sizing of Distributed Generation and Customer Tariff;Energies;2021-12-28

3. Stochastic Mixed-Integer Programming (SMIP)-Based Distributed Energy Resource Allocation Method for Virtual Power Plants;Energies;2019-12-21

4. Assessing Renewable Energy Sources for Electricity (RES-E) Potential using a CAPM-Analogous Multi-Stage Model;Energies;2019-09-20

5. Optimal Dispatching of Active Distribution Networks Based on Load Equilibrium;Energies;2017-12-01