A Reliable Evaluation Metric for Electrical Load Forecasts in V2G Scheduling Considering Statistical Features of EV Charging
Author:
Affiliation:
1. Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China
2. School of Electronics and Communication Engineering, Guangzhou University, Guangzhou, China
Funder
Science and Technology Innovation Committee of Shenzhen
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/5165411/10643567/10508231.pdf?arnumber=10508231
Reference46 articles.
1. Impact of uncoordinated plug-in electric vehicle charging on residential power demand
2. An Augmented Lagrangian-Based Safe Reinforcement Learning Algorithm for Carbon-Oriented Optimal Scheduling of EV Aggregators
3. Internet of smart charging points with photovoltaic Integration: A high-efficiency scheme enabling optimal dispatching between electric vehicles and power grids
4. Bridging electricity market and carbon emission market through electric vehicles: Optimal bidding strategy for distribution system operators to explore economic feasibility in China's low-carbon transitions
5. A Coordinated Electric Vehicle Management System for Grid-Support Services in Residential Networks
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