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Predicting residential energy consumption using CNN-LSTM neural networks
Predicting residential energy consumption using CNN-LSTM neural networks
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Predicting residential energy consumption using CNN-LSTM neural networks

Kim, Tae-Young ; Cho, Sung-Bae

Energy (Oxford), 2019-09, Vol.182, p.72-81 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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2
Power Consumption Estimation Models for Processors, Virtual Machines, and Servers
Power Consumption Estimation Models for Processors, Virtual Machines, and Servers
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Power Consumption Estimation Models for Processors, Virtual Machines, and Servers

Mobius, Christoph ; Dargie, Waltenegus ; Schill, Alexander

IEEE transactions on parallel and distributed systems, 2014-06, Vol.25 (6), p.1600-1614 [Periódico revisado por pares]

New York: IEEE

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3
Optimization-oriented adaptive equivalent consumption minimization strategy based on short-term demand power prediction for fuel cell hybrid vehicle
Optimization-oriented adaptive equivalent consumption minimization strategy based on short-term demand power prediction for fuel cell hybrid vehicle
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Optimization-oriented adaptive equivalent consumption minimization strategy based on short-term demand power prediction for fuel cell hybrid vehicle

Zeng, Tao ; Zhang, Caizhi ; Zhang, Yanyi ; Deng, Chenghao ; Hao, Dong ; Zhu, Zhongwen ; Ran, Hongxu ; Cao, Dongpu

Energy (Oxford), 2021-07, Vol.227, p.120305, Article 120305 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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4
Natural gas consumption of urban households in China and corresponding influencing factors
Natural gas consumption of urban households in China and corresponding influencing factors
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Natural gas consumption of urban households in China and corresponding influencing factors

Liu, Guixian ; Dong, Xiucheng ; Jiang, Qingzhe ; Dong, Cong ; Li, Jiaman

Energy policy, 2018-11, Vol.122, p.17-26 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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5
Real-time predictive energy management of plug-in hybrid electric vehicles for coordination of fuel economy and battery degradation
Real-time predictive energy management of plug-in hybrid electric vehicles for coordination of fuel economy and battery degradation
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Real-time predictive energy management of plug-in hybrid electric vehicles for coordination of fuel economy and battery degradation

Guo, Ningyuan ; Zhang, Xudong ; Zou, Yuan ; Guo, Lingxiong ; Du, Guodong

Energy (Oxford), 2021-01, Vol.214, p.119070, Article 119070 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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6
Hourly energy consumption prediction of an office building based on ensemble learning and energy consumption pattern classification
Hourly energy consumption prediction of an office building based on ensemble learning and energy consumption pattern classification
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Hourly energy consumption prediction of an office building based on ensemble learning and energy consumption pattern classification

Dong, Zhenxiang ; Liu, Jiangyan ; Liu, Bin ; Li, Kuining ; Li, Xin

Energy and buildings, 2021-06, Vol.241, p.110929, Article 110929 [Periódico revisado por pares]

Lausanne: Elsevier B.V

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7
The dual-credit policy: Quantifying the policy impact on plug-in electric vehicle sales and industry profits in China
The dual-credit policy: Quantifying the policy impact on plug-in electric vehicle sales and industry profits in China
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The dual-credit policy: Quantifying the policy impact on plug-in electric vehicle sales and industry profits in China

Ou, Shiqi ; Lin, Zhenhong ; Qi, Liang ; Li, Jie ; He, Xin ; Przesmitzki, Steven

Energy policy, 2018-10, Vol.121 (C), p.597-610 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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8
The impact of the COVID-19 on households’ hourly electricity consumption in Canada
The impact of the COVID-19 on households’ hourly electricity consumption in Canada
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The impact of the COVID-19 on households’ hourly electricity consumption in Canada

Abdeen, Ahmed ; Kharvari, Farzam ; O'Brien, William ; Gunay, Burak

Energy and buildings, 2021-11, Vol.250, p.111280-111280, Article 111280 [Periódico revisado por pares]

Switzerland: Elsevier B.V

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9
Modeling the determinants of renewable energy consumption: Evidence from the five most populous nations in Africa
Modeling the determinants of renewable energy consumption: Evidence from the five most populous nations in Africa
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Modeling the determinants of renewable energy consumption: Evidence from the five most populous nations in Africa

Akintande, Olalekan J. ; Olubusoye, Olusanya E. ; Adenikinju, Adeola F. ; Olanrewaju, Busayo T.

Energy (Oxford), 2020-09, Vol.206, p.117992, Article 117992 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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10
Renewable and non-renewable electricity consumption, environmental degradation and economic development: Evidence from Mediterranean countries
Renewable and non-renewable electricity consumption, environmental degradation and economic development: Evidence from Mediterranean countries
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Renewable and non-renewable electricity consumption, environmental degradation and economic development: Evidence from Mediterranean countries

Belaïd, Fateh ; Zrelli, Maha Harbaoui

Energy policy, 2019-10, Vol.133, p.110929, Article 110929 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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