scholarly journals Machine Learning-Based Approach to Predict Energy Consumption of Renewable and Nonrenewable Power Sources

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4870 ◽  
Author(s):  
Prince Waqas Khan ◽  
Yung-Cheol Byun ◽  
Sang-Joon Lee ◽  
Dong-Ho Kang ◽  
Jin-Young Kang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Electricity Consumption ◽  
Energy Sources ◽  
Support Vector ◽  
Power Sources ◽  
Variable Nature ◽  
Soft Computing Techniques ◽  
Nonrenewable Energy

In today’s world, renewable energy sources are increasingly integrated with nonrenewable energy sources into electric grids and pose new challenges because of their intermittent and variable nature. Energy prediction using soft-computing techniques plays a vital role in addressing these challenges. As electricity consumption is closely linked to other energy sources such as natural gas and oil, forecasting electricity consumption is essential for making national energy policies. In this paper, we utilize various data mining techniques, including preprocessing historical load data and the load time series’s characteristics. We analyzed the power consumption trends from renewable energy sources and nonrenewable energy sources and combined them. A novel machine learning-based hybrid approach, combining multilayer perceptron (MLP), support vector regression (SVR), and CatBoost, is proposed in this paper for power forecasting. A thorough comparison is made, taking into account the results obtained using other prediction methods.

Machine learning roles in advancing the power network stability due to deployments of renewable energies and electric vehicles

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Mohamad Nassereddine
Keyword(s):  
Machine Learning ◽  
Renewable Energy ◽  
Electric Vehicles ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Power Network ◽  
Network Stability ◽  
Fast Charging ◽  
Electrical Loads ◽  
Charging Stations

AbstractRenewable energy sources are widely installed across countries. In recent years, the capacity of the installed renewable network supports large percentage of the required electrical loads. The relying on renewable energy sources to support the required electrical loads could have a catastrophic impact on the network stability under sudden change in weather conditions. Also, the recent deployment of fast charging stations for electric vehicles adds additional load burden on the electrical work. The fast charging stations require large amount of power for short period. This major increase in power load with the presence of renewable energy generation, increases the risk of power failure/outage due to overload scenarios. To mitigate the issue, the paper introduces the machine learning roles to ensure network stability and reliability always maintained. The paper contains valuable information on the data collection devises within the power network, how these data can be used to ensure system stability. The paper introduces the architect for the machine learning algorithm to monitor and manage the installed renewable energy sources and fast charging stations for optimum power grid network stability. Case study is included.

scholarly journals Potential of Utilization of Renewable Energy Technologies in Gulf Countries

2021 ◽  
Vol 13 (18) ◽  
pp. 10261
Author(s):  
J. Sadhik Basha ◽  
Tahereh Jafary ◽  
Ranjit Vasudevan ◽  
Jahanzeb Khan Bahadur ◽  
Muna Al Ajmi ◽  
...  
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
United Arab Emirates ◽  
Renewable Energy Sources ◽  
Gas Production ◽  
Energy Sources ◽  
Nonrenewable Resource ◽  
Gulf Region ◽  
Renewable Sources ◽  
Power Sources

This critical review report highlights the enormous potentiality and availability of renewable energy sources in the Gulf region. The earth suffers from extreme air pollution, climate changes, and extreme problems due to the enormous usage of underground carbon resources applications materialized in industrial, transport, and domestic sectors. The countries under Gulf Cooperation Council, i.e., Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates, mainly explore those underground carbon resources for crude oil extraction and natural gas production. As a nonrenewable resource, these are bound to be exhausted in the near future. Hence, this review discusses the importance and feasibility of renewable sources in the Gulf region to persuade the scientific community to launch and explore renewable sources to obtain the maximum benefit in electric power generation. In most parts of the Gulf region, solar and wind energy sources are abundantly available. However, attempts to harness those resources are very limited. Furthermore, in this review report, innovative areas of advanced research (such as bioenergy, biomass) were proposed for the Gulf region to extract those resources at a higher magnitude to generate surplus power generation. Overall, this report clearly depicts the current scenario, current power demand, currently installed capacities, and the future strategies of power production from renewable power sources (viz., solar, wind, tidal, biomass, and bioenergy) in each and every part of the Gulf region.

scholarly journals Energy benchmarking in educational buildings in the city of Kragujevac - possibilities for energy efficiency improvement

2021 ◽  
Vol 18 (1) ◽  
pp. 95-114
Author(s):  
Ana Radojevic ◽  
Danijela Nikolic ◽  
Jasna Radulovic ◽  
Jasmina Skerlic
Keyword(s):  
Energy Efficiency ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Renewable Energy Sources ◽  
Electricity Consumption ◽  
Energy Sources ◽  
Efficiency Improvement ◽  
Energy Efficiency Improvement ◽  
Energy Benchmarking

The implementation of energy efficiency measures and use of renewable energy sources in educational buildings can significantly contribute to reducing energy consumption, but also to CO2 emissions in the entire public sector. The paper shows the comparison of energy consumption indicators for 61 elementary school buildings which have previously been divided in 12 groups, according to the period of construction and size, based on the national typology called TABULA, as the first step of further study on how to use the renewable energy sources. The aim of this paper is to use the energy benchmarking process to select representative facilities which are suitable for applying renewable energy sources, for their further energy efficiency improvement. Indicators of annual specific electricity consumption and CO2 emissions per unit area [kWh/m2] and per user [kWh/user] were calculated. After that, from two groups (in which the highest electricity consumption and CO2 emissions are 68.37% and 74.53% of the total consumption/ emissions), one representative facility was selected.

scholarly journals Produkcja energii elektrycznej ze źródeł odnawialnych w krajach Unii Europejskiej i w Polsce w kontekście koncepcji zrównoważonego rozwoju

2017 ◽  
Vol 17(32) (2) ◽  
pp. 126-135
Author(s):  
Łukasz Kozar
Keyword(s):  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Electricity Consumption ◽  
Data Bank ◽  
Electricity Production ◽  
Energy Sources ◽  
Local Data ◽  
Renewable Sources ◽  
Regional Aspect ◽  
The Eu

The article presents changes that occurred in the production of electricity from renewable energy sources in the EU-28 and in Poland in the years of 2010-2015. The analysis of the changes was based on the data from Eurostat and the Local Data Bank. Based on the indicator of the share of electricity generated from renewable sources in gross electricity consumption, Poland in the period under discussion, was characterized as one of the highest dynamics of change among all EU countries. In addition, the article analyzes the situation concerning the production of electricity in Poland in the regional aspect. From the taken analyzes, it is clear that in all voivodeships, apart from Małopolskie voivodeship, in 2015, more electricity was produced from renewable sources compared to 2010. In the period under discussion, the share of electricity production from renewable sources in total electricity production also increased by 99% in Poland.

scholarly journals The Global Survey of the Electrical Energy Distribution System: A Review

2019 ◽  
Vol 9 (4) ◽  
pp. 2247 ◽  
Author(s):  
Archana Sudhakar Talhar ◽  
Sanjay B. Bodkhe
Keyword(s):  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Electrical Power ◽  
Electrical Energy ◽  
Clean Energy ◽  
Central Intelligence Agency ◽  
Energy Sources ◽  
Power Sources ◽  
Energy Scenario ◽  
The World

This paper gives a review of energy scenario in India and other countries. Today’s demand of the world is to minimize greenhouse gas emissions, during the production of electricity. Henceforth over the world, the production of electrical power is changing by introducing abundantly available renewable energy sources like sun and wind. But, because of the intermittent nature of sustainable power sources, the electrical power network faces many problems, during the transmission and distribution of electricity. For resolving these issues, Electrical Energy Storage (EES) is acknowledged as supporting technology. This paper discusses about the world electrical energy scenario with top renowned developed countries in power generation and consumption. Contribution of traditional power sources changed after the introduction of renewable energy sources like sun and wind. Worldwide Agencies are formed like International Energy Agency (IEA), The Central Intelligence Agency, (CIS) etc. The main aim of these agencies is to provide reliable, affordable and clean energy. This paper will discuss about the regulatory authority and government policies/incentives taken by different countries.  At the end of this paper, author focuses on obstacles in implementation, development and benefits of renewable energy.

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 Engie: Business Model Transformation

2020 ◽  
Vol 9 (2) ◽  
pp. 152-167
Author(s):  
Jorge Hernando Cuñado ◽  
Jorge Colvin Díez ◽  
Javier Antonio Enríquez Román
Keyword(s):  
Renewable Energy ◽  
Business Model ◽  
Model Transformation ◽  
New Technologies ◽  
Renewable Energy Sources ◽  
Business Environment ◽  
Energy Sources ◽  
Power Sources ◽  
Energy Company ◽  
New Strategy

This article reviews the business model transformation of a French energy company, Engie. The company is adapting to a new energy business environment characterized by three trends: decarbonisation, decentralisation and digitalization. In order to achieve this objective Engie has carried out a three-year plan (2016-2019) focusing on renewable energy sources, local energy generation and new technologies. The company has developed a new strategy for the period 2019-2021, the aim is to become the world leader in zero-carbon transition “as a service” assisting business and local authorities to reduce their carbon footprint in their operations. This implies an asset light strategy, Engie provides tailor-made solutions and expertise to their customers while partnering with the owners of renewable power sources. The company is in line with the environmental concerns of all its stakeholders and believes in the profitability of this new strategy, centred on renewable energy sources.

scholarly journals Towards Zero-Energy Housing in Egypt

2019 ◽  
Vol 3 (1) ◽  
pp. 52
Author(s):  
Hala Abdelmoez Mohamed
Keyword(s):  
Renewable Energy ◽  
Architectural Design ◽  
Renewable Energy Sources ◽  
Electricity Consumption ◽  
Housing Demand ◽  
Electricity Sector ◽  
Energy Resources ◽  
Energy Sources ◽  
Renewable Energy Resources ◽  
Zero Energy

As the Egyptian population is increasing at a huge rate, the yearly housing demand is increasing in an equivalent rate. In addition, the whole world is suffering from an energy crises caused by the rapidly increasing consumption of world’s traditional energy resources, so the obvious solution is to go green, and depend much more on renewable energy resources. According to the statistical data available in Egyptian governmental authorities, the accumulated housing demand till 2014 was about 2,400,000 units. On the other hand, the yearly housing supply from private and public sectors is about 150,000 to 200,000 unit, Egyptian authorities declared that at summer 2010 air-conditioning devices increased to reach 3.000.000 ( three million) devices all over Egypt, mostly working from early mornings till 2 am next day to adjust temperatures that reach up to (45C) and more outside buildings to reach (25 C) or less inside. This behavior increased electricity consumption rapidly. Consequently, the electricity consumption rate in Egypt had increased by 13% more than 2009, which exceeds the maximum capacity power of the high dam by 7% to 8%, ministry of electricity announcements declared that to fill that gab we need 3000 megawatts at peak hours which costs the electricity sector up to 16.000.000.000 l.E. Accordingly, a new architectural design concept is proposed (Zero-Energy Housing Unit) to rely on the surrounding environmental conditions and new Green Architecture Techniques in order to provide human comfort based on renewable energy sources, provided that the common current governmental energy sources will be a backup system for the meanwhile.

scholarly journals Prospects for the use of solar energy in the Irkutsk Region and the Republic of Buryatia

2021 ◽  
Vol 289 ◽  
pp. 05002
Author(s):  
О.S. Kuznetsova ◽  
V.V. Khanaev
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Electricity Consumption ◽  
Electrical Energy ◽  
Energy Sources ◽  
Irkutsk Region ◽  
The Republic ◽  
Distribution Generation

Due to the ever-increasing volume of energy consumption, the number of power plants capable of generating the necessary amount of electrical energy inevitably increases. The development and construction of new renewable energy sources and distribution generation facilities, the increase in electricity consumption and the growth of the tariff stimulates the search for effective technological solutions. Also in connection with the increasing popularity and improvement of technologies, there is a natural need to assess the prospects and potential opportunities of SES in the region as a whole, and for the Irkutsk region and the Republic of Buryatia, in particular.

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.

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