Data mining and machine learning methods for sustainable smart cities traffic classification: A survey
This survey paper describes the significant literature survey of Sustainable Smart Cities
(SSC), Machine Learning (ML), Data Mining (DM), datasets, feature extraction and selection …
(SSC), Machine Learning (ML), Data Mining (DM), datasets, feature extraction and selection …
Data mining in the construction industry: Present status, opportunities, and future trends
H Yan, N Yang, Y Peng, Y Ren - Automation in Construction, 2020 - Elsevier
The construction industry is experiencing remarkable growth in the data generation. Data
mining (DM) from considerable amount of data in the construction industry has emerged as …
mining (DM) from considerable amount of data in the construction industry has emerged as …
CNN-LSTM architecture for predictive indoor temperature modeling
Indoor temperature modeling is a crucial part towards efficient Heating, Ventilation and Air
Conditioning (HVAC) systems. Data-driven black-box approaches have been an attractive …
Conditioning (HVAC) systems. Data-driven black-box approaches have been an attractive …
LSTM-autoencoder-based anomaly detection for indoor air quality time-series data
Anomaly detection for indoor air quality (IAQ) data has become an important area of
research as the quality of air is closely related to human health and well-being. However …
research as the quality of air is closely related to human health and well-being. However …
A spatial-temporal layer-wise relevance propagation method for improving interpretability and prediction accuracy of LSTM building energy prediction
G Li, F Li, C Xu, X Fang - Energy and Buildings, 2022 - Elsevier
At present, data-driven methods have achieved satisfactory results in building energy
consumption prediction, especially deep learning models such as long short-term memory …
consumption prediction, especially deep learning models such as long short-term memory …
Predictive control of HVAC by multiple output GRU-CFD integration approach to manage multiple IAQ for commercial heritage building preservation
J Zhang, KH Poon, HHL Kwok, F Hou… - Building and …, 2023 - Elsevier
Excessive and fluctuating indoor air quality (IAQ) leads to destruction of historical buildings.
Regenerated commercial historic buildings are generally fitted with heating, ventilation, and …
Regenerated commercial historic buildings are generally fitted with heating, ventilation, and …
LSTM enhanced by dual-attention-based encoder-decoder for daily peak load forecasting
K Zhu, Y Li, W Mao, F Li, J Yan - Electric Power Systems Research, 2022 - Elsevier
Daily peak load forecasting is a challenging problem in the filed of electric power load
forecasting. Since the nonlinear and dynamic of influence factors and their sequential …
forecasting. Since the nonlinear and dynamic of influence factors and their sequential …
Attention-LSTM architecture combined with Bayesian hyperparameter optimization for indoor temperature prediction
B Jiang, H Gong, H Qin, M Zhu - Building and Environment, 2022 - Elsevier
Accurate prediction of indoor temperature can provide more reference data for indoor
thermal comfort assessment and the operational effectiveness of heating, ventilation and air …
thermal comfort assessment and the operational effectiveness of heating, ventilation and air …
Multi-zone indoor temperature prediction with LSTM-based sequence to sequence model
Accurate indoor temperature forecasting can facilitate energy savings of the building without
compromising the occupant comfort level, by providing more accurate control of the HVAC …
compromising the occupant comfort level, by providing more accurate control of the HVAC …
A comparison of machine learning algorithms for forecasting indoor temperature in smart buildings
The international community has largely recognized that the Earth's climate is changing.
Mitigating its global effects requires international actions. The European Union (EU) is …
Mitigating its global effects requires international actions. The European Union (EU) is …