A 0–1 linear relaxation and stochastic approximation method for real-time pricing in a smart grid with non-convex constraints

Author:

Tao Li1,Wang Zongyao1,Su Xia1

Affiliation:

1. Faculty of Mathematics and Physics, Huaiyin Institute of Technology, Huai'an, People’s Republic of China

Funder

Shanghai Science and Technology Project

Jiangsu Province Industry–University-Research Cooperation Project

Publisher

Informa UK Limited

Reference33 articles.

1. Demand-Side Management via Distributed Energy Generation and Storage Optimization

2. Optimized Day-Ahead Pricing With Renewable Energy Demand-Side Management for Smart Grids

3. A Real-Time Pricing Scheme with Advertisement Competition Based on Multi-leader–Multi-follower Game in Smart Community;Dai Yeming;Asia-Pacific Journal of Operational Research (APJOR),2021

4. Table of Contents

5. A Survey on Demand Response in Smart Grids: Mathematical Models and Approaches

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