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Dr Tanveer Ahmad
Dr Tanveer Ahmad
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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
6412020
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
5252021
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
3422020
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
3062018
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
2232022
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
1682018
Using the internet of things in smart energy systems and networks
T Ahmad, D Zhang
Sustainable Cities and Society 68, 102783, 2021
1452021
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
1382018
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
1372020
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
1362022
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
1322018
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
1252019
Non-technical loss analysis and prevention using smart meters
T Ahmad
Renewable and Sustainable Energy Reviews 72, 573-589, 2017
1252017
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
1082018
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
962018
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
832018
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
742021
An expert rule-based fault diagnosis strategy for variable refrigerant flow air conditioning systems
Y Guo, J Wang, H Chen, G Li, R Huang, Y Yuan, T Ahmad, S Sun
Applied Thermal Engineering 149, 1223-1235, 2019
742019
Deep learning for multi-scale smart energy forecasting
T Ahmad, H Chen
Energy 175, 98-112, 2019
712019
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
682022
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Artículos 1–20