| Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities T Ahmad, D Zhang, C Huang, H Zhang, N Dai, Y Song, H Chen Journal of Cleaner Production 289, 125834, 2021 | 953 | 2021 |
| A critical review of comparative global historical energy consumption and future demand: The story told so far T Ahmad, D Zhang Energy Reports 6, 1973-1991, 2020 | 941 | 2020 |
| A review on renewable energy and electricity requirement forecasting models for smart grid and buildings T Ahmad, H Zhang, B Yan Sustainable Cities and Society 55, 102052, 2020 | 453 | 2020 |
| Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the context of … T Ahmad, R Madonski, D Zhang, C Huang, A Mujeeb Renewable and Sustainable Energy Reviews 160, 112128, 2022 | 442 | 2022 |
| A comprehensive overview on the data driven and large scale based approaches for forecasting of building energy demand: A review T Ahmad, H Chen, Y Guo, J Wang Energy and Buildings 165, 301-320, 2018 | 365 | 2018 |
| Energetics Systems and artificial intelligence: Applications of industry 4.0 T Ahmad, H Zhu, D Zhang, R Tariq, A Bassam, F Ullah, AS AlGhamdi, ... Energy Reports 8, 334-361, 2022 | 276 | 2022 |
| Using the internet of things in smart energy systems and networks T Ahmad, D Zhang Sustainable Cities and Society 68, 102783, 2021 | 257 | 2021 |
| Deep learning-based fault diagnosis of variable refrigerant flow air-conditioning system for building energy saving Y Guo, Z Tan, H Chen, G Li, J Wang, R Huang, J Liu, T Ahmad Applied Energy 225, 732-745, 2018 | 184 | 2018 |
| A review on machine learning forecasting growth trends and their real-time applications in different energy systems T Ahmad, H Chen Sustainable Cities and Society 54, 102010, 2020 | 170 | 2020 |
| Short and medium-term forecasting of cooling and heating load demand in building environment with data-mining based approaches T Ahmad, H Chen Energy and Buildings 166, 460-476, 2018 | 155 | 2018 |
| Review of various modeling techniques for the detection of electricity theft in smart grid environment T Ahmad, H Chen, J Wang, Y Guo Renewable and Sustainable Energy Reviews 82, 2916-2933, 2018 | 153 | 2018 |
| Nonlinear autoregressive and random forest approaches to forecasting electricity load for utility energy management systems T Ahmad, H Chen Sustainable Cities and Society 45, 460-473, 2019 | 142 | 2019 |
| Non-technical loss analysis and prevention using smart meters T Ahmad Renewable and Sustainable Energy Reviews 72, 573-589, 2017 | 132 | 2017 |
| Supervised based machine learning models for short, medium and long-term energy prediction in distinct building environment T Ahmad, H Chen, R Huang, G Yabin, J Wang, J Shair, HMA Akram, ... Energy 158, 17-32, 2018 | 120 | 2018 |
| Potential of three variant machine-learning models for forecasting district level medium-term and long-term energy demand in smart grid environment T Ahmad, H Chen Energy 160, 1008-1020, 2018 | 112 | 2018 |
| Demand response for industrial micro-grid considering photovoltaic power uncertainty and battery operational cost C Huang, H Zhang, Y Song, L Wang, T Ahmad, X Luo IEEE Transactions on Smart Grid 12 (4), 3043-3055, 2021 | 100 | 2021 |
| Key technologies for smart energy systems: Recent developments, challenges, and research opportunities in the context of carbon neutrality H Zhu, HH Goh, D Zhang, T Ahmad, H Liu, S Wang, S Li, T Liu, H Dai, ... Journal of Cleaner Production, 129809, 2022 | 99 | 2022 |
| Utility companies strategy for short-term energy demand forecasting using machine learning based models T Ahmad, H Chen Sustainable cities and society 39, 401-417, 2018 | 96 | 2018 |
| A data-driven deep sequence-to-sequence long-short memory method along with a gated recurrent neural network for wind power forecasting T Ahmad, D Zhang Energy, 122109, 2022 | 95 | 2022 |
| Future Data Center Energy-Conservation and Emission-Reduction Technologies in the Context of Smart and Low-Carbon City Construction H Zhu, D Zhang, HH Goh, S Wang, T Ahmad, D Mao, T Liu, H Zhao, T Wu Sustainable Cities and Society, 104322, 2023 | 91 | 2023 |