Special Issue "Energy Demand and Prices"

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "Energy Economics and Policy".

Deadline for manuscript submissions: 31 August 2020.

Special Issue Editors

Prof. Dr. Pablo del Río

Guest Editor
CSIC-CCHS Instituto de Políticas y Bienes Públicos, Madrid, Spain
Interests: electricity demand; auctions; renewable energy; eco-innovation; circular economy; environmental economics
Prof. Dr. Desiderio Romero-Jordán
Website
Co-Guest Editor
Universidad Rey Juan Carlos, Madrid, Spain
Interests: electricity demand; energy efficiency; eco-innovation
Dr. Christoph Kiefer
Website
Co-Guest Editor
CSIC-CCHS Instituto de Políticas y Bienes Públicos, Madrid, Spain
Interests: renewable energy; eco-innovation; circular economy

Special Issue Information

Dear Colleagues,

Energy and social welfare have a two-sided relationship. On the one hand, energy is a critical input for many production processes and a crucial product/service in the daily way of life of residential consumers. In this context, getting an idea of the future demand for energy is one of the main concerns of policy makers around the world, which would enable infrastructures to be adapted and invested into accordingly, both in the electricity and non-electricity sector. This is particularly so for the undergoing energy transition in the electricity sector, which requires deployment of renewable energy projects and extensions, and reinforcements in the electricity grid in the long-term. On the other hand, the demand for energy also has negative side effects both globally (e.g., climate change impacts) and locally (concerns about security of supply, particularly in countries which are dependent on foreign energy sources). In turn, given the relevance of energy prices in production and consumption processes, maintaining affordable energy prices is a crucial issue for consumers and producers alike, as well as being a main goal for governments all over the world. Prices are also a key mechanism for steering energy transitions towards higher sustainability levels. Therefore, the evolution of prices and their drivers are topics worth researching. This Special Issue is devoted to the economic analysis of different aspects broadly related to energy demand and energy prices, whether in the electricity or non-electricity sectors. We welcome original submissions which are scientifically rigorous and use different types of methodologies, including econometric analysis, simulations, and input–output techniques, among others.

Prof. Dr. Pablo del Río
Prof. Dr. Desiderio Romero-Jordán
Dr. Christoph Kiefer
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 papers will be 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 1800 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

  • energy demand
  • energy prices
  • electricity demand
  • electricity prices
  • energy efficiency
  • drivers of energy prices
  • determinants of energy demand
  • modeling of energy demand and energy prices

Published Papers (4 papers)

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Research

Open AccessArticle
Quantifying Electricity Supply Resilience of Countries with Robust Efficiency Analysis
Energies 2020, 13(7), 1535; https://doi.org/10.3390/en13071535 - 25 Mar 2020
Abstract
The interest in studying energy systems’ resilience is increasing due to a rising awareness of the importance of having a secure energy supply. This growing trend is a result of a series of recent disruptions, among others also affecting electricity systems. Therefore, it [...] Read more.
The interest in studying energy systems’ resilience is increasing due to a rising awareness of the importance of having a secure energy supply. This growing trend is a result of a series of recent disruptions, among others also affecting electricity systems. Therefore, it is of crucial importance for policymakers to determine whether their country has a resilient electricity supply. Starting from a set of 12 indicators, this paper uses data envelopment analysis (DEA) to comprehensively evaluate the electricity supply resilience of 140 countries worldwide. Two DEA models are applied: (1) the original ratio-based Charnes, Cooper, and Rhodes (CCR) model and (2) a novel hybrid framework for robust efficiency analysis incorporating linear programming and Monte Carlo simulations. Results show that the CCR model deems 31 countries as efficient and hence lacks the capability to differentiate them. Furthermore, the CCR model considers only the best weight vectors for each country, which are not necessarily representative of the overall performance of the countries. The robustness analysis explores these limitations and identifies South Korea, Singapore and Canada as the most resilient countries. Finally, country analyses are conducted, where Singapore’s and Japan’s performances and improvement potentials are discussed. Full article
(This article belongs to the Special Issue Energy Demand and Prices)
Open AccessArticle
A Novel Ensemble Approach for the Forecasting of Energy Demand Based on the Artificial Bee Colony Algorithm
Energies 2020, 13(3), 550; https://doi.org/10.3390/en13030550 - 23 Jan 2020
Abstract
Accurate forecasting of the energy demand is crucial for the rational formulation of energy policies for energy management. In this paper, a novel ensemble forecasting model based on the artificial bee colony (ABC) algorithm for the energy demand was proposed and adopted. The [...] Read more.
Accurate forecasting of the energy demand is crucial for the rational formulation of energy policies for energy management. In this paper, a novel ensemble forecasting model based on the artificial bee colony (ABC) algorithm for the energy demand was proposed and adopted. The ensemble model forecasts were based on multiple time variables, such as the gross domestic product (GDP), industrial structure, energy structure, technological innovation, urbanization rate, population, consumer price index, and past energy demand. The model was trained and tested using the primary energy demand data collected in China. Seven base models, including the regression-based model and machine learning models, were utilized and compared to verify the superior performance of the ensemble forecasting model proposed herein. The results revealed that (1) the proposed ensemble model is significantly superior to the benchmark prediction models and the simple average ensemble prediction model just in terms of the forecasting accuracy and hypothesis test, (2) the proposed ensemble approach with the ABC algorithm can be employed as a promising framework for energy demand forecasting in terms of the forecasting accuracy and hypothesis test, and (3) the forecasting results obtained for the future energy demand by the ensemble model revealed that the future energy demand of China will maintain a steady growth trend. Full article
(This article belongs to the Special Issue Energy Demand and Prices)
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Open AccessArticle
The Impact of International Oil Prices on the Stock Price Fluctuations of China’s Renewable Energy Enterprises
Energies 2019, 12(24), 4630; https://doi.org/10.3390/en12244630 - 05 Dec 2019
Abstract
In order to address a series of issues, including energy security, global warming, and environmental protection, China has ranked first in global renewable investment for the seventh consecutive year. However, developing a renewable energy industry requires a significant capital investment. Also, the international [...] Read more.
In order to address a series of issues, including energy security, global warming, and environmental protection, China has ranked first in global renewable investment for the seventh consecutive year. However, developing a renewable energy industry requires a significant capital investment. Also, the international oil price fluctuations have an important impact on the stock prices of renewable energy firms. Thus, in order to provide implications for market investment as well as policy recommendations, this paper studied the spillover effect of international oil prices on the stock prices of China’s renewable energy listed companies. We used a Vector Autoregressive (VAR) model with innovations using a Factor-GARCH (Generalized Autoregressive Conditional Heteroskedasticity) process to evaluate the impact of market co-movements and time-varying volatility and correlation between the international oil price and China’s renewable energy market. The results show that the international oil price has a significant price spillover effect on the stock prices of China’s renewable energy listed companies. Moreover, the fluctuations of international oil prices have an influence on the stock price variations of Chinese renewable energy listed companies. Full article
(This article belongs to the Special Issue Energy Demand and Prices)
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Open AccessArticle
Policy Makers’ Perspectives on the Expansion of Renewable Energy Sources in Chile’s Electricity Auctions
Energies 2019, 12(21), 4149; https://doi.org/10.3390/en12214149 - 30 Oct 2019
Abstract
Chile has become one of the first few countries where renewable sources compete directly with conventional generation in price-based auctions. Moreover, the results of energy auctions during the last few years show a remarkable transition from conventional fossil fuels to renewable energies. In [...] Read more.
Chile has become one of the first few countries where renewable sources compete directly with conventional generation in price-based auctions. Moreover, the results of energy auctions during the last few years show a remarkable transition from conventional fossil fuels to renewable energies. In fact, the energy auction in 2017, to provide energy to customers from distribution companies, achieved a massive expansion in renewable technology at one of the lowest prices in the world. These positive results prompted the question if such results were permanent or temporal due to factors with limited effects. In this regard, this paper studies the key factors that drove the significant rise of renewable technologies in Chilean energy auctions, obtaining valuable lessons for regulators, not only in Chile, but also in the region and the world. For this purpose, we considered a well-proven method based on a hybrid multicriteria decision-making model to examine and prioritize the main drivers of the expansion of renewables in auctions. The results showed that some specific characteristics of the auction design, particularly the hourly supply blocks, the lead time for project construction, and contract duration, were the most significant drivers for the expansion of renewables in energy auctions. Moreover, the results showed that, provided that the auction design accommodates for such drivers, solar energy ends up as the most attractive technology in the Chilean auctions. The research also shows the main findings are robust by the application of a probabilistic sensitivity analysis. Full article
(This article belongs to the Special Issue Energy Demand and Prices)
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