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Utilising Cold Energy from Liquefied Natural Gas (LNG) to Reduce the Electricity Cost of Data Centres
Published 2021-10-01“…As the energy demand for equipment cooling contributes to over 37% of the total energy consumption, the data centres of the world’s leading companies, such as Amazon, Google, Microsoft and Facebook, are generally located in cold climate zones, such as Iceland, in order to reduce operating costs for cooling. …”
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Novel <i>m</i>—Polar Fuzzy Linguistic ELECTRE-I Method for Group Decision-Making
Published 2019-04-01“…The motivation for the use of words or sentences instead of numbers is that linguistic classification and characterizations are generally less precise than numerical ones. In this research article, we encourage the fuzzy linguistic approach and introduce the novel concept known as <i>m</i>-polar fuzzy linguistic variable (<i>m</i>FLV) to increase the affluence of linguistic variables based on <i>m</i>-polar fuzzy (<i>m</i>F) approach. …”
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163
Teleworking and emotional exhaustion in the Colombian electricity sector: The mediating role of affective commitment and the moderating role of creativity
Published 2023-03-01“…Purpose: After two years during which teleworking has been a temporary obligation, the Colombian electricity sector needs to analyze the effect of this type of work on the well-being of employees. …”
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Implementation of Microbial Fuel Cell in Harvesting Energy Using Wastewater
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Forecasting the delayed impact of energy price fluctuations on China's general prices based on a temporal input-output approach
Published 2024-03-01“…The Chinese economy is facing the impact of soaring energy prices, including the prices of coal, electricity and oil. The impacts of energy price fluctuations on general prices have a significant delayed effect. …”
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168
Comparative Analysis of Deep Learning Techniques Based COVID-19 Impact Assessment on Electricity Consumption in Distribution Network
Published 2023-09-01“…The impact of COVID-19 outbreak on the energy sector is enormous with serious global socioeconomic disruptions affecting all economic sectors, including tourism, industry, higher education, and electricity industry. Based on the unstructured data obtained from Eko Electricity Distribution Company this paper proposes three deep learning (DL) models namely: Long Short-Term Memory (LSTM), Simple Recurrent Neural Network (SimpleRNN), and Gated Recurrent Unit (GRU) were used to analyse the effect of COVID-19 pandemic on energy consumption and predict future energy consumption in various district in Lagos, Nigeria. …”
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A Game Theoretical Approach Based Bidding Strategy Optimization for Power Producers in Power Markets with Renewable Electricity
Published 2017-05-01“…In a competitive electricity market with substantial involvement of renewable electricity, maximizing profits by optimizing bidding strategies is crucial to different power producers including conventional power plants and renewable ones. …”
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Exploratory Weather Data Analysis for Electricity Load Forecasting Using SVM and GRNN, Case Study in Bali, Indonesia
Published 2022-05-01“…Accurate forecasting of electricity load is essential for electricity companies, primarily for planning electricity generators. …”
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A Comparative Study of Pricing Mechanisms to Reduce Side-Payments in the Electricity Market: A Case Study for South Korea
Published 2021-06-01“…We applied the alternative pricing schemes to the Korean electricity market, and the impacts are analyzed by comparing the cost aspect of an electricity sales company and the profit aspect of generation companies. …”
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The Price of Wind: An Empirical Analysis of the Relationship between Wind Energy and Electricity Price across the Residential, Commercial, and Industrial Sectors
Published 2021-06-01“…Our econometric model accounts for the primary factors that influence electricity prices, incorporating both fixed effects and general method of moments in order to more precisely isolate the effect of wind energy. …”
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E-Bike Motor Drive: A Review of Configurations and Capabilities
Published 2022-12-01“…However, there is not a detailed general procedure to help the choice and design of electric bikes, in particular concerning the electric machine. …”
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