Sensor and Sensorless Technology with Renewable Energy and Flexible Load Participation in Active Distribution Network

Dear Colleagues,

The last few years have seen a rapidly growing interest in technologies with renewable energy (RE) and flexible load (FL) participation in the distribution network with the development of sensor technology, which provides strong support for the active management of the distribution network, and offers the possibility of optimal scheduling of smart cities and smart transportation based on artificial intelligence. In this context, by coordinating flexible resources for smart cities and smart transportation, the carrying capacity and flexibility of the distribution network can be increased to incorporate RE and diversified loads, further improving the secure and economic operation of the distribution network.

This Special Issue aims to promote original research and review articles on recent advances, technologies, solutions, applications, and new challenges in the field of RE and FL participation in the distribution network with integrated sensors.

Potential topics include, but are not limited to, the following:

1. Sensor and sensorless technology of RE participating in distribution network;
2. Sensor and sensorless technology of electric vehicles participating in distribution network;
3. Sensor and sensorless technology in energy optimization in the integration of road and power networks;
4. Sensor and sensorless technology of smart appliances participating in distribution network;
5. Analysis of electric vehicle user behaviors driven by sensor data;
6. Brainwave analysis of power users driven by sensor data;
7. Research on power user portrait based on smart meter data;
8. Data collection and competitive strategy analysis of FL in the power market;
9. Global carbon market and measurement and analysis of FL energy;
10. Sensors in smart environments for the provision and ancillary services.

Prof. Dr. Su Su
Dr. Jakub Jurasz
Dr. Jie Yan
Dr. Ning Li
Dr. Hao Ming
Dr. Rongsheng Chen
Prof. Dr. Xia Mao
Guest Editors

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