has been cited by the following article(s):
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[1]
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Climate sensitivity of electricity consumption and peak demand in india: case of heterogeneous climate zones
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Climate Change Economics,
2023 |
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[2]
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A machine learning process for examining the linkage among disaggregated energy consumption, economic growth, and environmental degradation
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Resources Policy,
2022 |
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[3]
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Impact of Climate Change on Electricity Consumption: A Case Study of Pakistan
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2021 |
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[4]
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Investigating Effect of Temperature Fluctuations on Electricity Consumption in Babolsar
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2021 |
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[5]
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Temperature, energy consumption, and Co 2 emission: testing for nonlinearity on USA Economy
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2021 |
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[6]
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Energy optimization associated with thermal comfort and indoor air control via a deep reinforcement learning algorithm
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Building and Environment,
2019 |
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[7]
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OPTIMIZACIóN DE ENERGíA AL CONTROLAR VENTILACIóN Y AIRE ACONDICIONADOPOR MEDIO DE UN ALGORITMO DE APRENDIZAJE POR REFUERZO PROFUNDO,IMPLEMENTADO EN EL DEPARTAMENTO DE INGENIERíA MECáNICA, UNIVERSIDADNACIONAL CHIAO TUNG, HSINCHU, TAIWáN
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Thesis,
2019 |
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[8]
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Optimización de energía al controlar ventilación y aire acondicionado por medio de un algoritmo de aprendizaje por refuerzo profundo, implementado en el …
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2019 |
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[1]
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Projection of Non-Industrial Electricity Consumption in China’s Pearl River Delta under Global Warming Scenarios
Sustainability,
2024
DOI:10.3390/su16052012
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[2]
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CLIMATE SENSITIVITY OF ELECTRICITY CONSUMPTION AND PEAK DEMAND IN INDIA: CASE OF HETEROGENEOUS CLIMATE ZONES
Climate Change Economics,
2023
DOI:10.1142/S2010007823500136
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[3]
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CLIMATE SENSITIVITY OF ELECTRICITY CONSUMPTION AND PEAK DEMAND IN INDIA: CASE OF HETEROGENEOUS CLIMATE ZONES
Climate Change Economics,
2023
DOI:10.1142/S2010007823500136
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[4]
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A machine learning process for examining the linkage among disaggregated energy consumption, economic growth, and environmental degradation
Resources Policy,
2022
DOI:10.1016/j.resourpol.2022.103104
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[5]
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Temperature, energy consumption, and Co2 emission: testing for nonlinearity on USA Economy
Environment, Development and Sustainability,
2021
DOI:10.1007/s10668-020-01176-0
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[6]
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Energy optimization associated with thermal comfort and indoor air control via a deep reinforcement learning algorithm
Building and Environment,
2019
DOI:10.1016/j.buildenv.2019.03.038
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