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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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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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Impacts of the COVID-19 lockdown on energy consumption in a Canadian social housing building
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Impacts of the COVID-19 lockdown on energy consumption in a Canadian social housing building

Rouleau, Jean ; Gosselin, Louis

Applied energy, 2021-04, Vol.287, p.116565-116565, Article 116565 [Periódico revisado por pares]

England: Elsevier Ltd

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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
A critical review on energy use and savings in the cement industries
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A critical review on energy use and savings in the cement industries

Madlool, N.A. ; Saidur, R. ; Hossain, M.S. ; Rahim, N.A.

Renewable & sustainable energy reviews, 2011-05, Vol.15 (4), p.2042-2060 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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6
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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7
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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8
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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9
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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10
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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