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New Advances in Renewable Energy and Sustainable Energy Storage Systems

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A: Sustainable Energy".

Deadline for manuscript submissions: 21 November 2025 | Viewed by 662

Special Issue Editor


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Guest Editor

Special Issue Information

Dear Colleagues,

This Special Issue, titled “New Advances in Renewable Energy and Sustainable Energy Storage Systems”, focuses on the development of energy sources and technologies that could store this energy for consistent and reliable use. As the global shift towards sustainable energy accelerates, integrating renewable energy sources (such as solar and wind) into existing grids poses significant challenges. These challenges include variability, intermittency, and the need for substantial storage capacity to ensure a stable energy supply.

This Special Issue aims to explore the latest advancements, innovative solutions, and practical implementations of energy storage systems that can effectively address these challenges. Topics of interest include battery technologies, thermal storage, pumped hydro storage, and emerging technologies. Additionally, the Special Issue will cover the economic, environmental, and policy aspects of deploying these systems on a large scale.

Dr. Aleksandra Komorowska
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

  • renewable energy
  • sustainable energy
  • energy storage
  • power generation integrating renewable energy sources (such as solar and wind)

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Published Papers (1 paper)

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Research

27 pages, 6102 KiB  
Article
The Impact of Wind Speed on Electricity Prices in the Polish Day-Ahead Market Since 2016, and Its Applicability to Machine-Learning-Powered Price Prediction
by Rafał Sowiński and Aleksandra Komorowska
Energies 2025, 18(14), 3749; https://doi.org/10.3390/en18143749 - 15 Jul 2025
Viewed by 254
Abstract
The rising share of wind generation in power systems, driven by the need to decarbonise the energy sector, is changing the relationship between wind speed and electricity prices. In the case of Poland, this relationship has not been thoroughly investigated, particularly in the [...] Read more.
The rising share of wind generation in power systems, driven by the need to decarbonise the energy sector, is changing the relationship between wind speed and electricity prices. In the case of Poland, this relationship has not been thoroughly investigated, particularly in the aftermath of the restrictive legal changes introduced in 2016, which halted numerous onshore wind investments. Studying this relationship remains necessary to understand the broader market effects of wind speed on electricity prices, especially considering evolving policies and growing interest in renewable energy integration. In this context, this paper analyses wind speed, wind generation, and other relevant datasets in relation to electricity prices using multiple statistical methods, including correlation analysis, regression modelling, and artificial neural networks. The results show that wind speed is a significant factor in setting electricity prices (with a correlation coefficient reaching up to −0.7). The findings indicate that not only is it important to include wind speed as an electricity price indicator, but it is also worth investing in wind generation, since higher wind output can be translated into lower electricity prices. This study contributes to a better understanding of how natural variability in renewable resources translates into electricity market outcomes under policy-constrained conditions. Its innovative aspect lies in combining statistical and machine learning techniques to quantify the influence of wind speed on electricity prices, using updated data from a period of regulatory stagnation. Full article
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