scholarly journals Application of the Least Square Support Vector Machine for point-to-point forecasting of the PV Power

2019 ◽  
Vol 9 (4) ◽  
pp. 2205
Author(s):  
Mahdi Farhadi ◽  
Nader Mollayi
Keyword(s):  
Support Vector Machine ◽  
Renewable Energy ◽  
Numerical Range ◽  
Renewable Energy Sources ◽  
Energy Resource ◽  
Least Square ◽  
Energy Sources ◽  
Support Vector ◽  
Solar Radiation Intensity ◽  
Point To Point

<p>In today's industrial world, the growing capacity of renewable energy sources is a crucial factor for sustainable power generation. The application of solar photovoltaic (PV) energy sources, as a clean and safe renewable energy resource has found great attention among the consumers in the recent decades. Accurate forecasting of the generated PV power is an important task for scheduling the generators and planning the consumption patterns of customers to save electricity costs. To this end, it is necessary to develop a global model of the generated power based on the effective factors which are mainly the solar radiation intensity and the ambient weather temperature. As a result of the wide numerical range of these parameters and various weather conditions, a large training database must be used for developing the models, which results in high-computational complexity of the algorithms used for training the models. In this paper, a novel algorithm for point to point prediction of the generated power based on the least squares support vector machine (LS-SVM) has been proposed which can handle the large training database with a very fewer deal of computation and benefits from reasonable accuracy and generalization capability. </p>

scholarly journals Influence of the Share of Renewable Energy Sources on the Level of Energy Security in EECCA Countries

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 903 ◽  
Author(s):  
Ivan Trifonov ◽  
Dmitry Trukhan ◽  
Yury Koshlich ◽  
Valeriy Prasolov ◽  
Beata Ślusarczyk
Keyword(s):  
Renewable Energy ◽  
Energy Security ◽  
Structural Characteristics ◽  
Renewable Energy Sources ◽  
Energy Resource ◽  
Energy Sources ◽  
Structural Content ◽  
High Degree

In this study we aimed to determine the extent to which changes in the share of renewable energy sources, their structural complex, and the level of energy security in Eastern Europe, Caucasus and Central Asia (EECCA) countries in the medium- and long-term are interconnected. The study was performed through modeling and determination of the structural characteristics of energy security in the countries. The methodology of the approach to modeling was based on solving the problem of nonlinear optimization by selecting a certain scenario. For the study, the data of EECCA countries were used. The ability of EECCA countries to benefit from long-term indirect and induced advantages of the transformation period depends on the extent to which their domestic supply chains facilitate the deployment of energy transformation and induced economic activity. This study provides an opportunity to assess the degree of influence of renewable energy sources on the level of energy security of countries in the context of energy resource diversification. The high degree of influence of renewable energy sources on energy security in the EECCA countries has been proven in the implementation of the developed scenarios for its increase. Energy security is growing. At the same time, its level depends not only on an increase in the share of renewable sources but also on the structure of energy resources complex of countries, and the development of various renewable energy sources. Therefore, today the EECCA countries are forced not only to increase the share of renewable energy sources but also to attach strategic importance to the structural content of their energy complex.

Consumption of combustible minerals in the context of the targets of sustainable development of Ukraine and global environment changes

2021 ◽  
Vol 3-4 (185-186) ◽  
pp. 109-125
Author(s):  
Myroslav Podolskyy ◽  
Dmytro Bryk ◽  
Lesia Kulchytska-Zhyhailo ◽  
Oleh Gvozdevych
Keyword(s):  
Sustainable Development ◽  
Renewable Energy ◽  
Natural Gas ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Thermal Power ◽  
Energy Resource ◽  
Fuel Oil ◽  
Energy Sources ◽  
The European Union

An analysis of Ukraine’s sustainable development targets, in particular in the field of energy, resource management and environmental protection, are presented. It is shown that regional energetic is a determining factor for achieving the aims of sustainable development. Changes in the natural environment in Ukraine due to external (global) and internal (local) factors that are intertwined and overlapped can cause threats to socio-economic development. It is proved that in the areas of mining and industrial activity a multiple increase in emissions of pollutants into the environment are observed. The comparison confirmed the overall compliance of the structure of consumption of primary energy resources (solid fossil fuels, natural gas, nuclear fuel, oil and petroleum products, renewable energy sources) in Ukraine and in the European Union, shows a steaby trend to reduce the share of solid fuels and natural gas and increasing the shares of energy from renewable sources. For example, in Ukraine the shares in the production and cost of electricity in 2018 was: the nuclear power plants – 54.33 % and in the cost – 26.60 %, the thermal power – 35.95 and 59.52 %, the renewable energy sources – 9.6 and 13.88 %. The energy component must be given priority, as it is crucial for achieving of all other goals of sustainable development and harmonization of socio-economic progress. The paper systematizes the indicators of regional energy efficiency and proposes a dynamic model for the transition to sustainable energy development of the region.

Energy Consumption Optimization in Agriculture and Development Perspectives

2021 ◽  
pp. 1505-1525
Author(s):  
Dmitry Tikhomirov ◽  
Andrey Izmailov ◽  
Yakov Lobachevsky ◽  
Anatoly Tikhomirov
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Agricultural Production ◽  
Renewable Energy Sources ◽  
Energy Resource ◽  
Energy Sources ◽  
Production Wastes ◽  
Energy Consumption Optimization ◽  
Decentralized Energy ◽  
Supply Systems

In this article, indicators of energy consumption in agriculture for Russian Federation are discussed, starting from the year 1990, and their forecast values for the period up to 2030 with the analysis of the decay in the period from 1991 to 2010 and gradual growth of energy resources consumption started in 2010 and continued to the present day has been analyzed. The outlines of the strategy of rural energy base development and optimization have been considered. Demand, development, and implementation conditions of decentralized energy supply systems have been substantiated, and their features, composition, and application field have been specified. It has been shown that the major energy resource of standalone energy systems is local and renewable energy sources and of agricultural production wastes. Methods and technologies for the conversion of renewable energy sources (RES), biomass, and waste of agricultural production into heat and power have been characterized.

scholarly journals Fault Diagnosis in Hybrid Renewable Energy Sources with Machine Learning Approach

2021 ◽  
Vol 3 (3) ◽  
pp. 222-237
Author(s):  
Haoxiang Wang
Keyword(s):  
Machine Learning ◽  
Energy Source ◽  
Renewable Energy ◽  
Rural Areas ◽  
Renewable Energy Sources ◽  
Energy Resource ◽  
Reference Value ◽  
Energy Resources ◽  
Energy Sources ◽  
Hybrid Renewable Energy

In recent days the need for energy resources is dramatically increasing world-wide. Overall 80% of the energy resource is supplied in the form of fuel based energy source and nuclear based energy source. Where fuel based energy resources are very essential in day-to-day life. Fossil fuel is also one among the energy resource and due to the high demand we face shortage in these resources. Providing electricity in rural areas is still a difficult process because of the shortage of energy resources. This issue can be rectified by choosing an alternate to electricity. To achieve this we have integrated many renewable energy sources to form a hybrid-renewable energy source system and this is capable of providing power supply to these areas. We have adopted artificial neural networks (ANN) technique based on machine learning to accomplish this process. For short-term prediction other techniques such as MLP, CNN, RNN and LSTM are used. These values are used as reference value in final execution.

scholarly journals Study On Hybrid Systems, Grid Integrated Based On Renewable Energy Systems Driving Local Loads

2019 ◽  
Vol 5 (7) ◽  
pp. 5
Author(s):  
Satyam Kumar Prasun ◽  
Sanjeev Jararia
Keyword(s):  
Renewable Energy ◽  
Energy Demand ◽  
Renewable Energy Sources ◽  
Energy Resource ◽  
Energy System ◽  
Energy Sources ◽  
Local Loads ◽  
World Energy ◽  
Electricity Power ◽  
Day By Day

The demand for electricity power is increasing day by day, which cannot be met  with  the satisfied  level without  non-renewable energy  resource. Renewable  energy sources  such as wind,  solar are universal and  ecological. These renewable energy  sources are best options to fulfill the world energy demand, but unpredictable due to natural conditions. The use of the hybrid solar and wind renewable energy system like will be the best option forthe utilization  these  available  resources.  The  objective  of  this  paper  is  to  study  the various aspects of hybrid solar and wind system. The application and different theories related to the development of hybrid also discussed in this paper.

scholarly journals Intelligent Predictive Analytics for Sustainable Business Investment in Renewable Energy Sources

2020 ◽  
Vol 12 (7) ◽  
pp. 2817 ◽  
Author(s):  
Theodoros Anagnostopoulos ◽  
Grigorios L. Kyriakopoulos ◽  
Stamatios Ntanos ◽  
Eleni Gkika ◽  
Sofia Asonitou
Keyword(s):  
Renewable Energy ◽  
Bayesian Network ◽  
Short Term Memory ◽  
Predictive Analytics ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Support Vector ◽  
Sustainable Business ◽  
K Nearest Neighbors ◽  
Bayesian Network Classifier

Willingness to invest in renewable energy sources (RES) is predictable under data mining classification methods. Data was collected from the area of Evia in Greece via a questionnaire survey by using a sample of 360 respondents. The questions focused on the respondents’ perceptions and offered benefits for wind energy, solar photovoltaics (PVs), small hydro parks and biomass investments. The classification algorithms of Bayesian Network classifier, Logistic Regression, Support Vector Machine (SVM), C4.5, k-Nearest Neighbors (k-NN) and Long Short Term Memory (LSTM) were used. The Bayesian Network classifier was the best method, with a prediction accuracy of 0.7942. The most important variables for the prediction of willingness to invest were the level of information, the level of acceptance and the contribution to sustainable development. Future studies should include data on state incentives and their impact on willingness to invest.

scholarly journals Renewable Energy Potentials along the Bay of Bengal due to Tidal Water Level Variation

2018 ◽  
Vol 147 ◽  
pp. 05008
Author(s):  
Myisha Ahmad ◽  
G. M. Jahid Hasan ◽  
H. M. Mohaymen Billah Chy ◽  
Gazi Masud Md. Mahenoor
Keyword(s):  
Renewable Energy ◽  
Potential Energy ◽  
Energy Demand ◽  
Renewable Energy Sources ◽  
Energy Resource ◽  
Tidal Energy ◽  
Energy Sources ◽  
Tidal Variation ◽  
Energy Estimation ◽  
Resource Exploration

The projected increase in energy demand coupled with concerns regarding present reliance on fossil fuel and associated environmental concerns had led to increased interest in exploiting renewable energy sources. Among different renewable energy sources, tidal energy is unique and most suitable because of its predictable nature and capability to ensure supply security. Tide consists of both kinetic and potential energy which can be converted to electricity using well-proven technology. The potential energy of tides - the principal focus of the study, is stored due to rise and fall of the sea level. Head difference created due to tidal variation between basin side and sea side of a barrage stores potential energy which is converted into fast-moving water that rotates turbine and generates electricity. Bangladesh with its long coastline has promising prospects of tidal energy resource development. The study focuses on tidal energy resource exploration and exploitation along several competent locations of the Bengal coastline. Tidal records of flood and ebb tide of these locations are analyzed to calculate the potential energy. Finally, available potential techniques of energy extraction are evaluated for annually generated energy estimation. This study investigates the prospect and utilization of tidal energy concept and reviews the possibilities and opportunities of employment of the technology for sustainable development and climate change mitigation in context of Bangladesh.

scholarly journals Renewable energy projects in Croatia: Present situation and future activities

2007 ◽  
Vol 11 (3) ◽  
pp. 55-74 ◽  
Author(s):  
Goran Granic ◽  
Filip Prebeg
Keyword(s):  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Energy Resource ◽  
Renewable Resource ◽  
Energy Sources ◽  
The European Union ◽  
Renewable Energy Resource ◽  
Energy Efficiency Improvement ◽  
Long Run ◽  
Energy Projects

Renewable energy sources should play an important role in the promotion of numerous Croatian energy goals. The development of a successful sector of renewable could in the long run contribute to energy efficiency improvement, diversification of production and supply safety, domestic production and lesser imports of energy sources and significant reduction of the environmental influences. Targets and strategy of the implementation for every renewable energy resource depends on the specifics of the particular one, with general trends in the European Union of renewable resource ratio increase in the energy balance.

scholarly journals Formation of institutional environment that contributes to the development of renewable energy in Russia

2020 ◽  
pp. 66-80
Author(s):  
Suzanna Robertinovna Bekulova
Keyword(s):  
Renewable Energy ◽  
Institutional Environment ◽  
Renewable Energy Sources ◽  
Energy Resource ◽  
Energy Sources ◽  
State Support ◽  
Economic Sectors ◽  
Global Trends ◽  
Energy Technologies ◽  
Resource Endowment

Renewable energy can advance only with sufficient state support. In the conditions of increasing environmental conscientiousness, the need for reduction of carbonaceous load on the environment, as well as lowering prices for renewable energy technologies, lag in using renewable energy sources poses a threat to the development of countries within the framework of global trends. Renewable energy has received state support in Russia, despite its high traditional energy resource endowment; there are different mechanisms of state support in the retail and wholesale electricity and capacity markets. The article studies the process of formation of the current mechanism of state support in wholesale electricity and capacity market. The author determines the key stages and factors with regards to formation of support system for the renewable energy sources in Russia. Analysis is conducted on the effectiveness of Capacity Supply Agreement (CSA) as a mechanism for state support of the renewable energy sources in Russia. The article demonstrates interrelation between functionality of the renewable energy CSA mechanism and the increased level of competition in the renewable energy. The author illustrates in what way the development of renewable energy in Russia may contribute to advancement of the adjacent economic sectors. Comprehensive approach towards development of the industry within the framework of technological cluster of renewable energy in Russia is presented. The author defines the territories to which the development of renewable energy is especially relevant.

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