Chao Long

Chao Long

Cranfield University

H-index: 27

Europe-United Kingdom

About Chao Long

Chao Long, With an exceptional h-index of 27 and a recent h-index of 25 (since 2020), a distinguished researcher at Cranfield University, specializes in the field of Smart grid, Community Energy Systems, P2P Energy Trading.

His recent articles reflect a diverse array of research interests and contributions to the field:

Data-driven distributionally robust scheduling of community integrated energy systems with uncertain renewable generations considering integrated demand response

Optimal scheduling of island integrated energy systems considering multi-uncertainties and hydrothermal simultaneous transmission: A deep reinforcement learning approach

Wind power forecasting considering data privacy protection: A federated deep reinforcement learning approach

Systematic Review of Demand-Side Management Strategies in Power Systems of Developed and Developing Countries

Transactive energy system for distribution network management: procuring residential flexibility services under dynamic pricing

Transition towards solar Photovoltaic Self-Consumption policies with Batteries: From the perspective of distribution networks

A Vehicle-to-vehicle Energy Trading Platform Using Double Auction With High Flexibility

Integrated energy efficiency evaluation of a multi-source multi-load desalination micro-energy network

Chao Long Information

University

Position

Lecturer at University of Glasgow Caledonian Manchester Cardiff

Citations(all)

5637

Citations(since 2020)

5161

Cited By

2320

hIndex(all)

27

hIndex(since 2020)

25

i10Index(all)

38

i10Index(since 2020)

36

Email

University Profile Page

Google Scholar

Chao Long Skills & Research Interests

Smart grid

Community Energy Systems

P2P Energy Trading

Top articles of Chao Long

Title

Journal

Author(s)

Publication Date

Data-driven distributionally robust scheduling of community integrated energy systems with uncertain renewable generations considering integrated demand response

Applied Energy

Yang Li

Meng Han

Mohammad Shahidehpour

Jiazheng Li

Chao Long

2023/4/1

Optimal scheduling of island integrated energy systems considering multi-uncertainties and hydrothermal simultaneous transmission: A deep reinforcement learning approach

Applied Energy

Yang Li

Fanjin Bu

Yuanzheng Li

Chao Long

2023/3/1

Wind power forecasting considering data privacy protection: A federated deep reinforcement learning approach

Applied Energy

Yang Li

Ruinong Wang

Yuanzheng Li

Meng Zhang

Chao Long

2023/1/1

Systematic Review of Demand-Side Management Strategies in Power Systems of Developed and Developing Countries

Rilwan Usman

Pegah Mirzania

Sahban W Alnaser

Phil Hart

Chao Long

2022/10/23

Transactive energy system for distribution network management: procuring residential flexibility services under dynamic pricing

IEEE Access

Sereen Z Althaher

Sahban W Alnaser

Yue Zhou

Chao Long

2022/9/22

Transition towards solar Photovoltaic Self-Consumption policies with Batteries: From the perspective of distribution networks

Applied Energy

Sahban W Alnaser

Sereen Z Althaher

Chao Long

Yue Zhou

Jianzhong Wu

...

2021/12/15

A Vehicle-to-vehicle Energy Trading Platform Using Double Auction With High Flexibility

Yiming Xu

Siqi Wang

Chao Long

2021/10/18

Integrated energy efficiency evaluation of a multi-source multi-load desalination micro-energy network

Global Energy Interconnection

Dan Wang

Jiancheng Yu

Bo Liu

Chao Long

Peiyu Chen

...

2020/4/1

Review of the impact of vehicle-to-grid schemes on electrical power systems

Praghnesh Bhatt

Chao Long

Mahammadsoaib Saiyad

2020/1/15

Residential community with PV and batteries: Reserve provision under grid constraints

International Journal of Electrical Power & Energy Systems

Sahban W Alnaser

Sereen Z Althaher

Chao Long

Yue Zhou

Jianzhong Wu

2020/7/1

Optimal Utilization of Reactive Power Capability of Renewable Energy Based Distributed Generation for Improved Performance of Distribution Network

Praghnesh Bhatt

Chao Long

Bhinal Mehta

Nilaykumar A Patel

2019/9

Framework design and optimal bidding strategy for ancillary service provision from a peer-to-peer energy trading community

Applied Energy

Yue Zhou

Jianzhong Wu

Guanyu Song

Chao Long

2020/11/15

State-of-the-art analysis and perspectives for peer-to-peer energy trading

Yue Zhou

Jianzhong Wu

Chao Long

Wenlong Ming

2020/7/1

See List of Professors in Chao Long University(Cranfield University)

Co-Authors

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