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Energy Systems and Energy Management

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F2: Distributed Energy System".

Deadline for manuscript submissions: 21 August 2024 | Viewed by 2490

Special Issue Editors

Institute of Management, University of Szczecin, 70-453 Szczecin, Poland
Interests: application of mathematical methods in energy; distributed energy; renewable energy sources; design and analysis of logistic processes; IT systems for modeling business processes; warehouse management; supply chain management; logistics strategies
Faculty of Management, Department of Quantitative Methods, Rzeszow University of Technology, 35-959 Rzeszow, Poland
Interests: taxonomic analysis; forecasting; regional development; transport and transport infrastructure development; econometric modeling; statistical analysis
Faculty of Economics and Management, Opole University of Technology, 45-036 Opole, Poland
Interests: mathematics modeling; statistical analysis; spatial analysis; econometric modeling; environmental analysis; spatial econometrics; environmental economics; applied econometrics; regional development

Special Issue Information

Dear Colleagues,

The deposits of conventional energy sources have a colossal impact on the development of the energy system, which in recent decades has become increasingly centralized, resulting in the creation of large production centers. Powerful power plants provide electricity to mass consumers, over a large area, and rely primarily on fossil fuels. From coal-fired power plants, just over half of the generated electricity reaches the final recipients, meaning that an unexpected heat wave or other adverse atmospheric phenomena may contribute to the occurrence of a power failure in a significantly wide area.

The solution may be various types of energy systems, which can ultimately satisfy energy supplies in less urbanized areas and in rural areas, while guaranteeing the sustainable development of these areas. Proper energy management extended to the entire economy is the main guarantor of market mechanisms for shaping energy security.

An advantage and motive for the development of energy systems is technological progress, conducive to the reduction in the costs of generating energy in renewable sources, as well as the development of local energy resources. This is the way to achieve a civilizational leap and build a society based on knowledge.

This still requires a significant research effort, however, in terms of both technology and tool applications energy management. Advanced modeling and simulation tools are essential not only for research and development (R&D) purposes, but also for regulatory purposes. This Special Edition contains the latest results of the most advanced research in the field of energy systems and ways to manage power.

Topics of interest include but are not limited to:

  • Energy systems;
  • Energy management;
  • Distributed energy;
  • Renewable energy sources;
  • Energy management models;
  • Models of functioning of civic energy;
  • Energy cluster;
  • Microgrid;
  • Prosumer.

Dr. Marcin Rabe
Dr. Katarzyna Chudy-Laskowska
Dr. Katarzyna Widera
Guest Editors

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
  • energy management
  • distributed energy
  • energy system
  • prosumer
  • model

Published Papers (2 papers)

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Research

21 pages, 2324 KiB  
Article
Forecasting Household Energy Consumption in European Union Countries: An Econometric Modelling Approach
Energies 2023, 16(14), 5561; https://doi.org/10.3390/en16145561 - 23 Jul 2023
Viewed by 1070
Abstract
The article raises issues regarding the consumption of energy from both fossil and renewable sources in households. The research was carried out on the basis of data obtained from the Eurostat database, which covered the period from 1995 to 2021 and concerned the [...] Read more.
The article raises issues regarding the consumption of energy from both fossil and renewable sources in households. The research was carried out on the basis of data obtained from the Eurostat database, which covered the period from 1995 to 2021 and concerned the European Union countries. Increasing energy consumption and, thus, increasing household expenses affect their standard of living. The purpose of the analysis was to construct two econometric models for electricity consumption. The first model referred to the consumption of energy from fossil sources and the second from renewable sources. A forecast of energy consumption in households was also constructed on the basis of estimated models. Econometric modelling methods (multiple regression) and time-series forecasting methods (linear regression method, exponential smoothing models) were applied for the study. Research shows that the main factor that models energy consumption in households, both from fossil and renewable sources, is the final consumption expenditure of households (Euro per capita). The set of indicators for the models varies depending on the type of energy source. The forecast shows that the share of energy consumption obtained from fossil sources will decrease systematically, while the share of energy consumption from renewable sources will continue to increase systematically. Full article
(This article belongs to the Special Issue Energy Systems and Energy Management)
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22 pages, 2134 KiB  
Article
Definition of Regulatory Targets for Electricity Non-Technical Losses: Proposition of an Automatic Model-Selection Technique for Panel Data Regressions
Energies 2023, 16(6), 2519; https://doi.org/10.3390/en16062519 - 07 Mar 2023
Viewed by 969
Abstract
Non-technical losses (NTLs) are one of the main problems that electricity distribution utilities face in developing regions such as Latin America, the Caribbean, sub-Saharan Africa, and South Asia. Particularly in Brazil, based on the socioeconomic and market variables concerning all the distribution utilities, [...] Read more.
Non-technical losses (NTLs) are one of the main problems that electricity distribution utilities face in developing regions such as Latin America, the Caribbean, sub-Saharan Africa, and South Asia. Particularly in Brazil, based on the socioeconomic and market variables concerning all the distribution utilities, the National Electric Energy Agency (ANEEL) has formulated several specifications of econometric models for panel data with random effects, all aimed at determining an index that reflects the difficulty of combating NTLs according to the intrinsic characteristics of each distribution area. Nevertheless, given the exhaustive search for combinations of explanatory variables and the complexity inherent to defining regulatory NTL targets, this process still requires the evaluation of many models through hypothesis and goodness-of-fit tests. In this regard, this article proposes an automatic model-selection technique for panel data regressions to better assist the Agency in establishing NTL regulatory targets for the distribution of utilities in this country. The proposed technique was applied to panel data containing annual observations from 62 Brazilian electricity distribution utilities from 2007 to 2017, thus generating 1,097,789 models associated with the regression types in the panel data. The main results are three selected models that showed more adherence to the actual capacity of Brazilian distribution utilities to reduce their NTLs. Full article
(This article belongs to the Special Issue Energy Systems and Energy Management)
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