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Electricity Market Modeling Trends in Power Systems: 2nd Edition
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Electricity Market Modeling Trends in Power Systems: 2nd Edition

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F1: Electrical Power System".

Deadline for manuscript submissions: 10 January 2026 | Viewed by 2980

Special Issue Editor

Dr. Zhongkai Yi

E-Mail Website
Guest Editor
School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150006, China
Interests: virtual power plant operation control technology; artificial intelligence; optimization theory
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Over 100 countries around the world have proposed carbon neutrality goals. The electricity market is an effective means to encourage the use of low-cost and low-carbon equipment to produce energy. With the rapid promotion of renewable energy technologies and the trend towards a low-carbon society, it is necessary to summarize the development history of the electricity market and further clarify its future development trends. In recent years, the product categories in the electricity market have become increasingly diverse, including active power, reactive power, spinning reserve, frequency regulation capacity and frequency regulation mileage, among others. The fields involved in the electricity market are also gradually expanding, including multiple fields such as electricity, heating, natural gas and transportation. Therefore, it is necessary to analyse the electricity market modelling trends in power systems and develop relevant technologies to promote the development of the modern electricity market.

This Special Issue, “Electricity Market Modeling Trends in Power Systems: 2nd Edition”, will curate novel advances in research that use modelling, planning and optimization as essential tools to design electricity market mechanisms or analyse the development trends in power systems. Topics include, but are not limited to, methods and/or applications in the following areas:

  1. Review of electricity market modelling trends;
  2. The bidding and operation strategy of market participants;
  3. Carbon markets;
  4. The market mechanism of the integrated energy system;
  5. Market clearing methods;
  6. Energy storage in the electricity market;
  7. Virtual power plants and their business model;
  8. Other topics relevant to the electricity market.

Dr. Zhongkai Yi
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • electricity market
  • power systems
  • market clearing
  • optimization
  • mechanism

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Published Papers (1 paper)

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Research

27 pages, 881 KB  
Article
Review of Methods and Models for Forecasting Electricity Consumption
by Kamil Misiurek, Tadeusz Olkuski and Janusz Zyśk
Energies 2025, 18(15), 4032; https://doi.org/10.3390/en18154032 - 29 Jul 2025
Viewed by 2193
Abstract
This article presents a comprehensive review of methods used for forecasting electricity consumption. The studies analyzed by the authors encompass both classical statistical models and modern approaches based on artificial intelligence, including machine-learning and deep-learning techniques. Electricity load forecasting is categorized into four [...] Read more.
This article presents a comprehensive review of methods used for forecasting electricity consumption. The studies analyzed by the authors encompass both classical statistical models and modern approaches based on artificial intelligence, including machine-learning and deep-learning techniques. Electricity load forecasting is categorized into four time horizons: very short term, short term, medium term, and long term. The authors conducted a comparative analysis of various models, such as autoregressive models, neural networks, fuzzy logic systems, hybrid models, and evolutionary algorithms. Particular attention was paid to the effectiveness of these methods in the context of variable input data, such as weather conditions, seasonal fluctuations, and changes in energy consumption patterns. The article emphasizes the growing importance of accurate forecasts in the context of the energy transition, integration of renewable energy sources, and the management of the evolving electricity system, shaped by decentralization, renewable integration, and data-intensive forecasting demands. In conclusion, the authors highlight the lack of a universal forecasting approach and the need for further research on hybrid models that combine interpretability with high predictive accuracy. This review can serve as a valuable resource for decision-makers, grid operators, and researchers involved in energy system planning. Full article
(This article belongs to the Special Issue Electricity Market Modeling Trends in Power Systems: 2nd Edition)
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