| A review on time series forecasting techniques for building energy consumption C Deb, F Zhang, J Yang, SE Lee, KW Shah Renewable and Sustainable Energy Reviews 74, 902-924, 2017 | 913 | 2017 |
| Overview of histone modification Y Zhang, Z Sun, J Jia, T Du, N Zhang, Y Tang, Y Fang, D Fang Histone Mutations and Cancer, 1-16, 2021 | 314 | 2021 |
| Time series forecasting for building energy consumption using weighted Support Vector Regression with differential evolution optimization technique F Zhang, C Deb, SE Lee, J Yang, KW Shah Energy and Buildings 126, 94-103, 2016 | 307 | 2016 |
| Construction site accident analysis using text mining and natural language processing techniques F Zhang, H Fleyeh, X Wang, M Lu Automation in Construction 99, 238-248, 2019 | 298 | 2019 |
| k-Shape clustering algorithm for building energy usage patterns analysis and forecasting model accuracy improvement J Yang, C Ning, C Deb, F Zhang, D Cheong, SE Lee, C Sekhar, KW Tham Energy and Buildings 146, 27-37, 2017 | 179 | 2017 |
| A hybrid structured deep neural network with Word2Vec for construction accident causes classification F Zhang International Journal of Construction Management 22 (6), 1120-1140, 2022 | 53 | 2022 |
| A hybrid model based on bidirectional long short-term memory neural network and Catboost for short-term electricity spot price forecasting F Zhang, H Fleyeh, C Bales Journal of the Operational Research Society 73 (2), 301-325, 2022 | 43 | 2022 |
| Deep learning in fault detection and diagnosis of building HVAC systems: A systematic review with meta analysis F Zhang, N Saeed, P Sadeghian Energy and AI 12, 100235, 2023 | 24 | 2023 |
| Short term electricity spot price forecasting using catboost and bidirectional long short term memory neural network F Zhang, H Fleyeh 2019 16th International Conference on the European Energy Market (EEM), 1-6, 2019 | 20 | 2019 |
| A review of single artificial neural network models for electricity spot price forecasting F Zhang, H Fleyeh 2019 16th international conference on the European energy market (EEM), 1-6, 2019 | 20 | 2019 |
| From time series to image analysis: A transfer learning approach for night setback identification of district heating substations F Zhang, C Bales, H Fleyeh Journal of Building Engineering 43, 102537, 2021 | 16 | 2021 |
| Anomaly detection of heat energy usage in district heating substations using LSTM based variational autoencoder combined with physical model F Zhang, H Fleyeh 2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA …, 2020 | 15 | 2020 |
| Night setback identification of district heat substations using bidirectional long short term memory with attention mechanism F Zhang, C Bales, H Fleyeh Energy 224, 120163, 2021 | 4 | 2021 |
| Hybrid Artificial Neural Networks Based Models for Electricity Spot Price Forecasting-A Review F Zhang, H Fleyeh 2019 16th International Conference on the European Energy Market (EEM), 1-6, 2019 | 3 | 2019 |
| Feature augmentation of classifiers using learning time series shapelets transformation for night setback classification of district heating substations F Zhang, C Bales, H Fleyeh Advances in Civil Engineering 2021, 1-12, 2021 | 2 | 2021 |
| Machine learning for building energy system analysis F Zhang Dalarna University, 2022 | 1 | 2022 |
| Applications of artificial neural networks for time series data analysis in energy domain F Zhang Dalarna University, 2020 | | 2020 |
| Energy and AI F Zhang, N Saeed, P Sadeghian | | |
