article Open AccessTop 1% cited
A short-term building cooling load prediction method using deep learning algorithms
Applied Energy · 2017 · Vol. 195 · pp. 222–233
Cheng Fan(Shenzhen University)Fu Xiao✉(Hong Kong Polytechnic University)Yang Zhao(Zhejiang University)
Building Energy and Comfort OptimizationEnergy Load and Power ForecastingWind and Air Flow StudiesArtificial intelligenceMachine learningDeep learningComputer scienceCooling loadFlexibility (engineering)Model buildingRaw dataField (mathematics)Unsupervised learning
Funding
- Shenzhen University
Citations
660
FWCI
55.88
field-weighted impact
References
40
Percentile
100%
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Citations per year
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References
A review on the prediction of building energy consumption
Renewable and Sustainable Energy Reviews · 2012 · 1,868 citations
Deep learning in neural networks: An overview
Neural Networks · 2014 · 17,774 citations
Comparison between detailed model simulation and artificial neural network for forecasting building energy consumption
Energy and Buildings · 2008 · 602 citations
A review on buildings energy consumption information
Energy and Buildings · 2007 · 6,392 citations
Deep learning
Nature · 2015 · 79,164 citations
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