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1
Using machine learning to select variables in data envelopment analysis: Simulations and application using electricity distribution data
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Using machine learning to select variables in data envelopment analysis: Simulations and application using electricity distribution data

Energy economics, 2023-04, Vol.120 [Peer Reviewed Journal]

ISSN: 0140-9883 ;ISSN: 1873-6181 ;EISSN: 1873-6181 ;DOI: 10.1016/j.eneco.2023.106621

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2
A Spatial Stochastic Frontier Model with Omitted Variables: Electricity Distribution in Norway
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A Spatial Stochastic Frontier Model with Omitted Variables: Electricity Distribution in Norway

The Energy journal (Cambridge, Mass.), 2018-05, Vol.39 (3), p.93-116 [Peer Reviewed Journal]

Copyright © 2018 by the IAEE ;The Author(s) ;Copyright 2018, The International Association for Energy Economics ;ISSN: 0195-6574 ;EISSN: 1944-9089 ;DOI: 10.5547/01956574.39.3.lore

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3
Performance Analysis of Short-Term Electricity Demand with Atmospheric Variables
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Performance Analysis of Short-Term Electricity Demand with Atmospheric Variables

Energies (Basel), 2018-04, Vol.11 (4), p.818 [Peer Reviewed Journal]

Copyright MDPI AG 2018 ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en11040818

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4
Automatic Selection of Temperature Variables for Short-Term Load Forecasting
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Automatic Selection of Temperature Variables for Short-Term Load Forecasting

Sustainability, 2022-10, Vol.14 (20), p.13339 [Peer Reviewed Journal]

COPYRIGHT 2022 MDPI AG ;2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2071-1050 ;EISSN: 2071-1050 ;DOI: 10.3390/su142013339

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5
The Effect of Feed-in Tariffs on Renewable Electricity Generation: An Instrumental Variables Approach
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The Effect of Feed-in Tariffs on Renewable Electricity Generation: An Instrumental Variables Approach

Environmental & resource economics, 2014-03, Vol.57 (3), p.367-392 [Peer Reviewed Journal]

Springer Science+Business Media Dordrecht 2013 ;Springer Science+Business Media Dordrecht 2014 ;ISSN: 0924-6460 ;EISSN: 1573-1502 ;DOI: 10.1007/s10640-013-9684-5

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6
Correlation between Weather Variables and Electricity Demand
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Article
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Correlation between Weather Variables and Electricity Demand

IOP conference series. Earth and environmental science, 2021-12, Vol.927 (1), p.12015 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2021. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1755-1307 ;EISSN: 1755-1315 ;DOI: 10.1088/1755-1315/927/1/012015

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7
The Influence of Local Environmental, Economic and Social Variables on the Spatial Distribution of Photovoltaic Applications across China’s Urban Areas
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The Influence of Local Environmental, Economic and Social Variables on the Spatial Distribution of Photovoltaic Applications across China’s Urban Areas

Energies (Basel), 2018-08, Vol.11 (8), p.1986 [Peer Reviewed Journal]

2018. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en11081986

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8
Electricity energy dataset “BanE-16”: Analysis of peak energy demand with environmental variables for machine learning forecasting
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Electricity energy dataset “BanE-16”: Analysis of peak energy demand with environmental variables for machine learning forecasting

Data in brief, 2024-02, Vol.52, p.109967-109967, Article 109967 [Peer Reviewed Journal]

2023 The Author(s) ;2023 The Author(s). ;2023 The Author(s) 2023 ;ISSN: 2352-3409 ;EISSN: 2352-3409 ;DOI: 10.1016/j.dib.2023.109967 ;PMID: 38235179

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9
Modeling arbitrage of an energy storage unit without binary variables
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Article
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Modeling arbitrage of an energy storage unit without binary variables

CSEE Journal of Power and Energy Systems, 2021-01, Vol.7 (1), p.156-161 [Peer Reviewed Journal]

2021. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://ieeexplore.ieee.org/Xplorehelp/#/accessing-content/open-access. ;ISSN: 2096-0042 ;EISSN: 2096-0042 ;DOI: 10.17775/CSEEJPES.2019.03340

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10
Determinants of Variables That Affect Electrical Energy Consumption in Indonesia 2011-2020
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Determinants of Variables That Affect Electrical Energy Consumption in Indonesia 2011-2020

International journal of energy economics and policy, 2024-01, Vol.14 (1), p.165-171

2024. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2146-4553 ;EISSN: 2146-4553 ;DOI: 10.32479/ijeep.11069

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11
Cluster Analysis of Residential Personal Exposure to ELF Magnetic Field in Children: Effect of Environmental Variables
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Article
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Cluster Analysis of Residential Personal Exposure to ELF Magnetic Field in Children: Effect of Environmental Variables

International journal of environmental research and public health, 2019-11, Vol.16 (22), p.4363 [Peer Reviewed Journal]

2019. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 by the authors. 2019 ;ISSN: 1660-4601 ;ISSN: 1661-7827 ;EISSN: 1660-4601 ;DOI: 10.3390/ijerph16224363 ;PMID: 31717366

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12
The Sensitivity of an Electro-Thermal Photovoltaic DC–DC Converter Model to the Temperature Dependence of the Electrical Variables for Reliability Analyses
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Article
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The Sensitivity of an Electro-Thermal Photovoltaic DC–DC Converter Model to the Temperature Dependence of the Electrical Variables for Reliability Analyses

Energies (Basel), 2020-06, Vol.13 (11), p.2865 [Peer Reviewed Journal]

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en13112865

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13
A Hybrid Model for Electricity Demand Forecast Using Improved Ensemble Empirical Mode Decomposition and Recurrent Neural Networks with ERA5 Climate Variables
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Article
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A Hybrid Model for Electricity Demand Forecast Using Improved Ensemble Empirical Mode Decomposition and Recurrent Neural Networks with ERA5 Climate Variables

Energies (Basel), 2022-10, Vol.15 (19), p.7434 [Peer Reviewed Journal]

COPYRIGHT 2022 MDPI AG ;2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en15197434

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14
Methodological development for the optimisation of electricity cost in cement factories: the use of artificial intelligence in process variables
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Article
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Methodological development for the optimisation of electricity cost in cement factories: the use of artificial intelligence in process variables

Electrical engineering, 2022-06, Vol.104 (3), p.1681-1696 [Peer Reviewed Journal]

The Author(s) 2021 ;ISSN: 0948-7921 ;EISSN: 1432-0487 ;DOI: 10.1007/s00202-021-01409-z

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15
Meteorological Variables’ Influence on Electric Power Generation for Photovoltaic Systems Located at Different Geographical Zones in Mexico
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Article
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Meteorological Variables’ Influence on Electric Power Generation for Photovoltaic Systems Located at Different Geographical Zones in Mexico

Applied sciences, 2019-04, Vol.9 (8), p.1649 [Peer Reviewed Journal]

2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app9081649

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16
An empirical study of purchase intention of energy-efficient home appliances: the influence of knowledge of eco-labels and psychographic variables
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Article
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An empirical study of purchase intention of energy-efficient home appliances: the influence of knowledge of eco-labels and psychographic variables

International journal of energy sector management, 2020-10, Vol.14 (6), p.1297-1314 [Peer Reviewed Journal]

Emerald Publishing Limited ;Emerald Publishing Limited 2020 ;ISSN: 1750-6220 ;EISSN: 1750-6239 ;DOI: 10.1108/IJESM-11-2019-0012

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17
A Study of the Effects of Enhanced Uniformity Control of Greenhouse Environment Variables on Crop Growth
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Article
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A Study of the Effects of Enhanced Uniformity Control of Greenhouse Environment Variables on Crop Growth

Energies (Basel), 2019-05, Vol.12 (9), p.1749 [Peer Reviewed Journal]

2019. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en12091749

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18
Alterations in Canadian Hydropower Production Potential Due to Continuation of Historical Trends in Climate Variables
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Article
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Alterations in Canadian Hydropower Production Potential Due to Continuation of Historical Trends in Climate Variables

Resources (Basel), 2019-12, Vol.8 (4), p.163 [Peer Reviewed Journal]

2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9276 ;EISSN: 2079-9276 ;DOI: 10.3390/resources8040163

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19
Use of a Big Data Analysis in Regression of Solar Power Generation on Meteorological Variables for a Korean Solar Power Plant
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Article
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Use of a Big Data Analysis in Regression of Solar Power Generation on Meteorological Variables for a Korean Solar Power Plant

Applied sciences, 2021-02, Vol.11 (4), p.1776 [Peer Reviewed Journal]

2021. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app11041776

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20
Study of the Dependence of Solar Radiation Regarding Design Variables in Photovoltaic Solar Installations with Optimal Dual-Axis Tracking
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Article
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Study of the Dependence of Solar Radiation Regarding Design Variables in Photovoltaic Solar Installations with Optimal Dual-Axis Tracking

Applied sciences, 2021, Vol.11 (9), p.3917 [Peer Reviewed Journal]

2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app11093917

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