Tanveer Ahmad 
- (2023): Future data center energy-conservation and emission-reduction technologies in the context of smart and low-carbon city construction. In: Sustainable Cities and Society, v. 89 (February 2023).
- (2021): Forecasting high penetration of solar and wind power in the smart grid environment using robust ensemble learning approach for large-dimensional data. In: Sustainable Cities and Society, v. 75 (December 2021).
- (2021): Using the internet of things in smart energy systems and networks. In: Sustainable Cities and Society, v. 68 (May 2021).
- (2020): A review on machine learning forecasting growth trends and their real-time applications in different energy systems. In: Sustainable Cities and Society, v. 54 (March 2020).
- (2020): A review on renewable energy and electricity requirement forecasting models for smart grid and buildings. In: Sustainable Cities and Society, v. 55 (April 2020).
- (2019): Nonlinear autoregressive and random forest approaches to forecasting electricity load for utility energy management systems. In: Sustainable Cities and Society, v. 45 (February 2019).
- (2018): Utility companies strategy for short-term energy demand forecasting using machine learning based models. In: Sustainable Cities and Society, v. 39 (May 2018).
- (2018): A comprehensive overview on the data driven and large scale based approaches for forecasting of building energy demand: A review. In: Energy and Buildings, v. 165 (April 2018).
- (2018): Short and medium-term forecasting of cooling and heating load demand in building environment with data-mining based approaches. In: Energy and Buildings, v. 166 (May 2018).
- (2019): Modal decomposition based ensemble learning for ground source heat pump systems load forecasting. In: Energy and Buildings, v. 194 (July 2019).
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