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

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

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

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

Applied Energy

2023/4/1

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

Applied Energy

2023/3/1

Yang Li
Yang Li

H-Index: 4

Chao Long
Chao Long

H-Index: 20

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

Applied Energy

2023/1/1

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

2022/10/23

Chao Long
Chao Long

H-Index: 20

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

IEEE Access

2022/9/22

Yue Zhou
Yue Zhou

H-Index: 12

Chao Long
Chao Long

H-Index: 20

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

Applied Energy

2021/12/15

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

2021/10/18

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

International Journal of Electrical Power & Energy Systems

2020/7/1

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

2019/9

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

Applied Energy

2020/11/15

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

2020/7/1

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

Global Energy Interconnection

2020/4/1

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

2020/1/15

Praghnesh Bhatt
Praghnesh Bhatt

H-Index: 13

Chao Long
Chao Long

H-Index: 20

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

Co-Authors

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