Hybrid Machine Learning Forecasting for Online MPC of Work Place Electric Vehicle Charging-Reference-Cited by-同舟云学术

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Hybrid Machine Learning Forecasting for Online MPC of Work Place Electric Vehicle Charging

Published:2023 Issue: Volume: Page:1-1
ISSN:1949-3053
Container-title:IEEE Transactions on Smart Grid
language:
Short-container-title:IEEE Trans. Smart Grid

Author:

McClone Graham¹^ORCID,Ghosh Avik¹,Khurram Adil¹,Washom Byron²,Kleissl Jan³

Affiliation:

1. Department of Mechanical and Aerospace Engineering, University of California, San Diego, CA, USA

2. Strategic Energy Initiatives, University of California, San Diego, CA, USA

3. Center for Energy Research in the Department of Mechanical and Aerospace Engineering, University of California, San Diego, CA, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/5165411/5446437/10184283.pdf?arnumber=10184283

Cited by 4 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. The Optimal Infrastructure Design for Grid-to-Vehicle (G2V) Service: A Case Study Based on the Monash Microgrid;Energies;2024-05-08

2. Short-Term Deterministic Forecasting of Individual Household Electricity Consumption Using the Hungarian Algorithm;2024 IEEE/PES Transmission and Distribution Conference and Exposition (T&D);2024-05-06

3. Cost-Optimal Aggregated Electric Vehicle Flexibility for Demand Response Market Participation by Workplace Electric Vehicle Charging Aggregators;Energies;2024-04-05

4. Machine Learning-Based Online MPC for Large-Scale Charging Infrastructure Management;IEEE Access;2024

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