Real-Time Electricity Retail Pricing Dual Optimization With Context-Based Fuzzy Optimal Algorithm-Reference-Cited by-同舟云学术

Real-Time Electricity Retail Pricing Dual Optimization With Context-Based Fuzzy Optimal Algorithm

Published:2022-04-21 Issue:6-7 Volume:50 Page:374-385
ISSN:1532-5008
Container-title:Electric Power Components and Systems
language:en
Short-container-title:Electric Power Components and Systems

Author:

Jamaludin Jafferi¹,Ohmori Hiromitsu²,Azzuhri Saaidal Razalli³

Affiliation:

1. Higher Institutions’ Center of Excellence (HICoE), University of Malaya Power Energy Dedicated Advanced Center (UMPEDAC), Level 4, Wisma R & D, University of Malaya, Kuala Lumpur, Malaysia

2. Department of System Design Engineering, Faculty of Science and Technology, Keio University, Kohoku-ku, Yokohama, Japan

3. Department of Computer System and Technology, Faculty of Computer Science and Information Technology, University of Malaya, Lembah Pantai, Kuala Lumpur, Malaysia

Funder

Hitachi Global Foundation

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Energy Engineering and Power Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/15325008.2022.2136785

Reference35 articles.

1. A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms

2. J. Wang, M. A. Biviji and W. M. Wang, Lessons Learnt from Smart Grid Enabled Pricing Programs, Proc. IEEE PECI, Champaign, IL, USA, 2011, pp. 1–7.

3. The Power of Dynamic Pricing

4. The effects of critical peak pricing for electricity demand management on home-based trip generation

5. Stochastic Control for Smart Grid Users With Flexible Demand

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