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Recently, renewable energy generation (REG) forecasting has become a challenging task for effective energy management. To date, a number of time-series models utilizing physical models, statistical techniques, and artificial intelligence algorithms have been proposed to deal with this problem. Fuzzy time series (FTS) models stand out among these methods since they do not need extensive historical data or some statistical assumptions like the normal distribution. Because intuitionistic fuzzy sets incorporate non-membership values in addition to membership values, they provide more information than conventional fuzzy sets do. In this regard, this paper recommends a hybrid methodology that combines the intuitionistic FTS method with the intuitionistic fuzzy c-means method for REG forecasting of Turkey between the years 2000–2020. According to the empirical results, it can be concluded that the presented integrated model showed good performance in terms of accuracy. The suggested framework is a useful tool not only for REG forecasting but also for other time series forecasting problems. [ABSTRACT FROM AUTHOR]

Given its widespread potential and technological advancements, it is critical to use the greatest amount of wind power in reaching the 100% renewable energy target in power grids. SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis is frequently used to evaluate alternative strategies in multi-criteria decision issues. This paper employs a hybrid Fuzzy Analytic Network Process (FANP) approach based on SWOT to assess the future development of wind power capacities in Turkey in light of the sectoral effects of the Covid-19 outbreak in 2020. To validate the proposed approach, the results are compared to the results of the SWOT-based Analytic Network Process (ANP), Analytic Hierarchy Process (AHP), and fuzzy AHP (FAHP). According to the findings, "Development of domestic and efficient technologies (ST1)" and "Sustaining support mechanisms in investments and technological research (SO2)" are the best alternative strategies in all analysis models. While the priority ranks of other alternative strategies are the same in AHP and FAHP hierarchical techniques, FANP differs from ANP when the linguistic assessment process is taken into account. This study proposes long-term strategies for increasing wind power capacity and sector sustainability, and it demonstrates that FANP could be an appropriate approach for prioritizing these strategies in current scenarios. [ABSTRACT FROM AUTHOR]

This paper focuses on climate change in Turkey caused by energy consumption using an Autoregressive Distributed Lag and Toda-Yamamoto causality analysis. The motivation and aim are: Finding evidence of causality for the relationship between energy consumption, growing economies and climate change depending on parameters that vary over time, which are observed and argued through political implications. Temperature and precipitation are the dependent variables for climate change; energy types and Gross Domestic Product per capita are the independent variables for economic determiners. Data was collected annually from various institutions between 1980 and 2019. According to the Toda-Yamamoto test, a negative relationship is determined between renewable energy consumption and temperature in both the short and long term. The results reveal that a 1% increase in renewable energy reduces the temperature by 0.031%. The increase of renewable energy may help in decreasing temperature. Precipitation and non-renewable energy consumption have a positive relationship in both the short and long term, with a 1% increase in non-renewable energy consumption causing a 0.175% increase in precipitation, indicating a negative effect on climate change. Encouraging renewable energy consumption through government incentives can be a powerful solution to decrease the negative effects of climate change in Turkey. • This study examines the relationships between climate change and energy consumption. • It conducts an ARDL analysis and Toda-Yamamoto causality tests in a growing economy. • Renewable energy consumption has a positive effect (reduces) temperature. • Non-renewable energy consumption has a negative effect (increases) precipitation. • Renewable energy consumption is critical mitigating global warming in Turkey. [ABSTRACT FROM AUTHOR]

This paper aims to provide a scientific approach that indicates the need to focus on renewable energy potential to meet energy needs in Turkey. Turkey began to take advantage of renewable energy technologies a few years ago. Accordingly, the issue of determining the best renewable resources for the country has been brought to the agenda in recent years. The issue was considered to be a limited multi-objective optimization problem allowing us to achieve a reliable result. However, the parameter of each resource was considered as a range value, rather than traditionally expressed as an exact value, and a multi-objective decision problem was developed with an interval coefficient. This method allows us to obtain more accurate and reliable results without the need to resort to normalization methods used to eliminate unit differences. According to the results of this study, the most convenient alternatives for Turkey are hydro, wind, and solar power. The findings also support decision policies aimed at reaching targets for the electricity sector in 2023, as put forth by the Ministry of Energy and Natural Resources (MENR). • Multi-dimensional analysis of optimum renewable energy resources for a sustainable economy. • Selection of renewable energy sources under uncertainty. • More sensitive selection of resources by representing the instability in expert opinions with interval numbers. • The most optimum renewable energy resources for Turkey: "geothermal, solar, and wind.". [ABSTRACT FROM AUTHOR]

The energy sector with 70% public budget influence in Turkey is unsurprisingly one of the sectors over which most policies have been developed. Although Turkey is rich in terms of renewable energy sources such as solar, water, wind, geothermal; as the speed of the consumption of the energy generated through these resources is higher than the production, the use of other non-renewable energy sources is at stake, and increases the emission amount released into the environment depending on this type of energy used. In this study, Energy Extended Input-Output Analysis has been conducted using the data of emission occurred depending on energy use within the framework of energy economy as an interdisciplinary field of study. And research has been carried out on the mutual interdependency between energy and economy. This paper employs an analysis recently published as an input-output table of the year 2014 of Turkey and energy use emission data of the same year in the World Input-Output Database. The emission occurred as a result of one single unit of energy use in the sector of electricity, gas, steam, and air conditioning supply, which are one of the two sectors including the whole components of the energy sector in Turkey, comes first with 51.4327 TJ/million-dollar coefficient, manufacture of coke and refined petroleum products, which is the other sector, ranks at the ninth row with the coefficient of 4.4556 TJ/million-dollar. As a result of the conducted analysis, while normalized total backward energy use emission linkages coefficients (BL j) equal 10.1074 TJ for Electricity, gas, steam, and air conditioning supply sector, they are 1.1676 TJ for the manufacture of coke and refined petroleum products. Normalized total forward energy use emission linkages coefficients (FL i) are 21.448 TJ for electricity, gas, steam and air conditioning supply, yet they are 1.3941 TJ for manufacture of coke and refined petroleum products. Policies on the sustainable use of energy in Turkey have been developed through the achieved results in the content of the study. Policies by focusing on the economy and prioritizing the role of energy in providing sustainable development, preferring environmentally friendly renewable energy sources, and encouraging less production of emission, have especially been mentioned. [ABSTRACT FROM AUTHOR]