Economic and Regulatory Uncertainty in Renewable Energy System Design: A Review

Alonso, Àlex; Coppitters, Diederik; Martín, Helena; Hoz, Jordi de la

doi:10.3390/en16020882

Cited by 12 publications

(9 citation statements)

References 160 publications

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“…Due to the differences in the economic potential of the regions of different countries having a strong impact on the possibility of developing a fairly universal strategy, we deliberately avoided considering financial institutions for stimulating renewable energy, focusing in the methodology on those recommendations that can be used by a component state of any federation, regardless of the material resources at their disposal. An example of a detailed overview of regulatory incentives, including the possible economic incentives, can be found in a recent review [46].…”

Section: Methods For Implementing Information Supportmentioning

confidence: 99%

List of Issues That Require Legal Regulation as Part of the Renewable Energy Regulation in Component States of Federation

Kirichenko,

Kirichenko

2024

Energies

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The transition to renewable energy is strongly affected by legal regulation. To increase the efficiency of the introduction of renewable energy into the energy systems of component states of federations and accelerate the energy transition, it is necessary to carry out systematic work to improve regional legislation in this area. The purpose of this study was to analyze the current regulatory legal acts on the renewable energy of the regions of a number of countries such as the USA, Germany, India, Switzerland and Russia in order to form a universal list of issues that need regulation at the regional level. The main methods for achieving the objectives set in this study were the comparative legal method and the method of analysis and synthesis. As a result, a number of recommendations were developed describing how legal relations primarily need to be regulated by regional legislation, and examples of different approaches to their settlement were presented. The issues in need of legal regulation were divided into three groups according to the degree of importance of their regulation by the legislation of the component state of the federation. Further development of this study will be aimed at identifying the most effective industrial practices for resolving each of the issues included in the compiled list which will help improve the efficiency of regional legal regulation of renewable energy.

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Section: Methods For Implementing Information Supportmentioning

confidence: 99%

List of Issues That Require Legal Regulation as Part of the Renewable Energy Regulation in Component States of Federation

Kirichenko,

Kirichenko

2024

Energies

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“…Such missing values can arise due to various circumstances, such as the failure of measuring instruments or sudden weather deterioration (snowfall and sticking on the surface of solar panels). There are a large number of uncertainties inherent in renewable energy sources [87,89] that are not accounted for in a single implemented model, such as changes in electricity prices and the involvement of energy storage systems, which are also used to reduce uncertainty in determining the amount of energy use, which is relevant for conditions of intermittent energy consumption.…”

Section: Methodology For Using Ai Approaches In Res Forecasting and A...mentioning

confidence: 99%

A Solar and Wind Energy Evaluation Methodology Using Artificial Intelligence Technologies

Simankov,

Buchatskiy,

Kazak

et al. 2024

Energies

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The use of renewable energy sources is becoming increasingly widespread around the world due to various factors, the most relevant of which is the high environmental friendliness of these types of energy resources. However, the large-scale involvement of green energy leads to the creation of distributed energy networks that combine several different generation methods, each of which has its own specific features, and as a result, the data collection and processing necessary to optimize the operation of such energy systems become more relevant. Development of new technologies for the more optimal use of RES is one of the main tasks of modern research in the field of energy, where an important place is assigned to the use of technologies based on artificial intelligence, allowing researchers to significantly increase the efficiency of the use of all types of RES within energy systems. This paper proposes to consider the methodology of application of modern approaches to the assessment of the amount of energy obtained from renewable energy sources based on artificial intelligence technologies, approaches used for data processing and for optimization of the control processes for operating energy systems with the integration of renewable energy sources. The relevance of the work lies in the formation of a general approach applied to the evaluation of renewable energy sources such as solar and wind energy based on the use of artificial intelligence technologies. As a verification of the approach considered by the authors, a number of models for predicting the amount of solar power generation using photovoltaic panels have been implemented, for which modern machine-learning methods have been used. As a result of testing for quality and accuracy, the best results were obtained using a hybrid forecasting model, which combines the joint use of a random forest model applied at the stage of the normalization of the input data, exponential smoothing model, and LSTM model.

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“…It is measured by the number of policy shifts, the magnitude of those shifts, and the extent to which officials differ on the economy's future. More and more studies point to the possibility of a significant impact of EPU on renewable energy consumption, both in terms of investment and technological adoption (Alonso-Travesset et al, 2023).…”

Section: Economic Policy Uncertainty and Renewable Energy Consumptionmentioning

confidence: 99%

Clarifying the nexus between Trade Policy Uncertainty, Economic Policy Uncertainty, FDI and Renewable Energy Demand

Qamruzzaman

2024

IJEEP

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: As the world becomes increasingly aware of the need to shift towards sustainable energy sources, China and the United States are two global superpowers leading this transition. With growing populations and increasing demand for energy, these countries have recognized the importance of renewable energy in meeting their needs while reducing carbon emissions. The motivation of the study is to evaluate the impact of trade policy uncertainty on renewal energy demean in the USA and China for the period 2000-2021 by employing linear and nonlinear assessment. The test statistics derived through the cointegration test by following Bayer-Hancked and Makki's cointegration established a long-run tie in the empirical equation. Moreover, the long-run linkage was revealed with symmetry and asymmetry investigation. Referring to the coefficients of linear assessment, the study established that uncertainties have a detrimental role in clean energy demand in the long- and short-run assessment. The asymmetric association between uncertainties and REC has been documented through the execution of a standard weld test with the null of symmetry. The directional causality test established a unidirectional linkage between trade policy uncertainty and REC [TPU<- ->REC], and a bidirectional linkage between economic policy uncertainty and REC [EPU<- ->REC].

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Economic and Regulatory Uncertainty in Renewable Energy System Design: A Review

Cited by 12 publications

References 160 publications

List of Issues That Require Legal Regulation as Part of the Renewable Energy Regulation in Component States of Federation

List of Issues That Require Legal Regulation as Part of the Renewable Energy Regulation in Component States of Federation

A Solar and Wind Energy Evaluation Methodology Using Artificial Intelligence Technologies

Clarifying the nexus between Trade Policy Uncertainty, Economic Policy Uncertainty, FDI and Renewable Energy Demand

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