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Energy, 171, 510, 2019 |
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GMM clustering for heating load patterns in-depth identification and prediction model accuracy improvement of district heating system
Lu YK, Tian Z, Peng P, Niu JD, Li WC, Zhang HJ
Energy and Buildings, 190, 49, 2019 |
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Cooling load prediction and optimal operation of HVAC systems using a multiple nonlinear regression model
Fan CL, Ding YF
Energy and Buildings, 197, 7, 2019 |
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Predicting electricity consumption for commercial and residential buildings using deep recurrent neural networks
Rahman A, Srikumar V, Smith AD
Applied Energy, 212, 372, 2018 |
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Predicting heating demand and sizing a stratified thermal storage tank using deep learning algorithms
Rahman A, Smith AD
Applied Energy, 228, 108, 2018 |
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Deep belief network based ensemble approach for cooling load forecasting of air-conditioning system
Fu GY
Energy, 148, 269, 2018 |
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Talebi B, Haghighat F, Tuohy P, Mirzaei PA
Energy, 144, 694, 2018 |
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Medium-term heat load prediction for an existing residential building based on a wireless on-off control system
Gu JH, Wang J, Qi CY, Min CH, Sunden B
Energy, 152, 709, 2018 |
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Ding Y, Zhang Q, Yuan TH, Yang K
Energy and Buildings, 159, 254, 2018 |
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Activity-aware HVAC power demand forecasting
Sala-Cardoso E, Delgado-Prieto M, Kampouropoulos K, Romeral L
Energy and Buildings, 170, 15, 2018 |
