Trustworthy AI and Large-Scale Computation for Low-Carbon Power Markets and Flexible Regulation

Topic Information

Dear Colleagues,

Power systems are undergoing a profound transition toward renewable-dominated, digitally enabled, and low-carbon operation. This transition is reshaping electricity market design, market clearing, flexible regulation, and electricity–carbon coordination. Modern power markets must increasingly coordinate energy, reserves, ancillary services, storage, demand response, flexible loads, network congestion, and carbon-related signals across multiple temporal and spatial scales. These problems are becoming computationally challenging due to system-scale expansion, uncertainty from renewable generation and demand-side flexibility, stronger coupling between transmission and distribution networks, and the increasing frequency of extreme market events such as price spikes and negative electricity prices. At the same time, artificial intelligence is moving beyond forecasting toward market analytics, bidding strategy support, abnormal price diagnosis, market-power monitoring, automated dispatch, and data-driven decision-making. However, the use of AI in critical market and regulation functions requires trustworthy design, including explainability, robustness, uncertainty awareness, data quality assessment, privacy protection, cybersecurity, fairness, accountability, and human-in-the-loop validation. This Topic invites original research on trustworthy AI and large-scale computation for low-carbon power markets and flexible regulation. Topics of interest include scalable optimization and decomposition algorithms for market clearing; AI-enhanced price forecasting, market-power detection, price spike diagnosis, and negative price identification; electricity–carbon coordinated dispatch and carbon-aware market mechanisms; flexibility procurement, ancillary service markets, and TSO–DSO coordination; uncertainty-aware, stochastic, and distributionally robust market models; and digital twins, benchmark datasets, reproducible computational tools, and trustworthy AI governance for power market applications. Contributions with theoretical advances, realistic case studies, empirical market evidence, and open-source implementations are particularly welcome.

Dr. Lei Yan
Dr. Zelong Lu
Dr. Chongyu Wang
Dr. Shuai Fan
Dr. Yue Yang
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Batteries batteries	6.3	9.8	2015	16.4 Days	CHF 2700	Submit
Energies energies	3.9	8.3	2008	16.7 Days	CHF 2600	Submit
Processes processes	3.4	5.7	2013	14.7 Days	CHF 2400	Submit
Sustainability sustainability	4.1	8.9	2009	16.9 Days	CHF 2400	Submit

Preprints.org is a multidisciplinary platform offering a preprint service designed to facilitate the early sharing of your research. It supports and empowers your research journey from the very beginning.

MDPI Topics is collaborating with Preprints.org and has established a direct connection between MDPI journals and the platform. Authors are encouraged to take advantage of this opportunity by posting their preprints at Preprints.org prior to publication:

1. Share your research immediately: disseminate your ideas prior to publication and establish priority for your work.
2. Safeguard your intellectual contribution: Protect your ideas with a time-stamped preprint that serves as proof of your research timeline.
3. Boost visibility and impact: Increase the reach and influence of your research by making it accessible to a global audience.
4. Gain early feedback: Receive valuable input and insights from peers before submitting to a journal.
5. Ensure broad indexing: Web of Science (Preprint Citation Index), Google Scholar, Crossref, SHARE, PrePubMed, Scilit and Europe PMC.

Published Papers