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A review of data-driven building energy consumption prediction studies
A review of data-driven building energy consumption prediction studies
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A review of data-driven building energy consumption prediction studies

Amasyali, Kadir ; El-Gohary, Nora M.

Renewable & sustainable energy reviews, 2018-01, Vol.81, p.1192-1205 [Periódico revisado por pares]

Elsevier Ltd

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2
A review on time series forecasting techniques for building energy consumption
A review on time series forecasting techniques for building energy consumption
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A review on time series forecasting techniques for building energy consumption

Deb, Chirag ; Zhang, Fan ; Yang, Junjing ; Lee, Siew Eang ; Shah, Kwok Wei

Renewable & sustainable energy reviews, 2017-07, Vol.74, p.902-924 [Periódico revisado por pares]

Elsevier Ltd

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3
Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms
Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms
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Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms

Lago, Jesus ; De Ridder, Fjo ; De Schutter, Bart

Applied energy, 2018-07, Vol.221, p.386-405 [Periódico revisado por pares]

Elsevier Ltd

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4
A hybrid deep learning based traffic flow prediction method and its understanding
A hybrid deep learning based traffic flow prediction method and its understanding
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A hybrid deep learning based traffic flow prediction method and its understanding

Wu, Yuankai ; Tan, Huachun ; Qin, Lingqiao ; Ran, Bin ; Jiang, Zhuxi

Transportation research. Part C, Emerging technologies, 2018-05, Vol.90, p.166-180 [Periódico revisado por pares]

Elsevier Ltd

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5
Machine learning prediction of biochar yield and carbon contents in biochar based on biomass characteristics and pyrolysis conditions
Machine learning prediction of biochar yield and carbon contents in biochar based on biomass characteristics and pyrolysis conditions
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Machine learning prediction of biochar yield and carbon contents in biochar based on biomass characteristics and pyrolysis conditions

Zhu, Xinzhe ; Li, Yinan ; Wang, Xiaonan

Bioresource technology, 2019-09, Vol.288, p.121527-121527, Article 121527 [Periódico revisado por pares]

England: Elsevier Ltd

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6
A comparison of random forest variable selection methods for classification prediction modeling
A comparison of random forest variable selection methods for classification prediction modeling
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A comparison of random forest variable selection methods for classification prediction modeling

Speiser, Jaime Lynn ; Miller, Michael E. ; Tooze, Janet ; Ip, Edward

Expert systems with applications, 2019-11, Vol.134, p.93-101 [Periódico revisado por pares]

New York: Elsevier Ltd

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7
Forecasting of photovoltaic power generation and model optimization: A review
Forecasting of photovoltaic power generation and model optimization: A review
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Forecasting of photovoltaic power generation and model optimization: A review

Das, Utpal Kumar ; Tey, Kok Soon ; Seyedmahmoudian, Mehdi ; Mekhilef, Saad ; Idris, Moh Yamani Idna ; Van Deventer, Willem ; Horan, Bend ; Stojcevski, Alex

Renewable & sustainable energy reviews, 2018-01, Vol.81, p.912-928 [Periódico revisado por pares]

Elsevier Ltd

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8
Holistic Prediction of the pKa in Diverse Solvents Based on a Machine‐Learning Approach
Holistic Prediction of the pKa in Diverse Solvents Based on a Machine‐Learning Approach
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Holistic Prediction of the pKa in Diverse Solvents Based on a Machine‐Learning Approach

Yang, Qi ; Li, Yao ; Yang, Jin‐Dong ; Liu, Yidi ; Zhang, Long ; Luo, Sanzhong ; Cheng, Jin‐Pei

Angewandte Chemie (International ed.), 2020-10, Vol.59 (43), p.19282-19291 [Periódico revisado por pares]

Weinheim: Wiley Subscription Services, Inc

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9
Matminer: An open source toolkit for materials data mining
Matminer: An open source toolkit for materials data mining
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Matminer: An open source toolkit for materials data mining

Ward, Logan ; Dunn, Alexander ; Faghaninia, Alireza ; Zimmermann, Nils E.R. ; Bajaj, Saurabh ; Wang, Qi ; Montoya, Joseph ; Chen, Jiming ; Bystrom, Kyle ; Dylla, Maxwell ; Chard, Kyle ; Asta, Mark ; Persson, Kristin A. ; Snyder, G. Jeffrey ; Foster, Ian ; Jain, Anubhav

Computational materials science, 2018-09, Vol.152 (C), p.60-69 [Periódico revisado por pares]

United States: Elsevier B.V

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10
A current perspective on the accuracy of incoming solar energy forecasting
A current perspective on the accuracy of incoming solar energy forecasting
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A current perspective on the accuracy of incoming solar energy forecasting

Blaga, Robert ; Sabadus, Andreea ; Stefu, Nicoleta ; Dughir, Ciprian ; Paulescu, Marius ; Badescu, Viorel

Progress in energy and combustion science, 2019-01, Vol.70, p.119-144 [Periódico revisado por pares]

Elsevier Ltd

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