Chirag Deb 
- (2024): On the influence of solar insolation and increase of outdoor temperature on energy savings obtained in heating system with forecast control. In: Energy and Buildings, v. 320 (Oktober 2024).
- (2024): Systematic review of the efficacy of data-driven urban building energy models during extreme heat in cities: Current trends and future outlook. In: Building Simulation, v. 17, n. 5 (Januar 2024).
- (2023): Tropical climates and the interplay between IEQ and energy consumption in buildings: A review. In: Building and Environment, v. 242 (August 2023).
- (2022): Early-stage design support combining machine learning and building information modelling. In: Automation in Construction, v. 136 (April 2022).
- (2021): Occupancy-based energy consumption modelling using machine learning algorithms for institutional buildings. In: Energy and Buildings, v. 252 (Dezember 2021).
- (2021): Impact of Measurement Uncertainty on Building Modeling and Retrofitting Decisions. In: Frontiers in Built Environment, v. 7 (Januar 2021).
- (2020): Building Energy Performance Assessment Using an Easily Deployable Sensor Kit: Process, Risks, and Lessons Learned. In: Frontiers in Built Environment, v. 6 (Januar 2020).
- (2020): Do energy performance certificates allow reliable predictions of actual energy consumption and savings? Learning from the Swiss national database. In: Energy and Buildings, v. 224 (Oktober 2020).
- (2016): Forecasting diurnal cooling energy load for institutional buildings using Artificial Neural Networks. In: Energy and Buildings, v. 121 (Juni 2016).
- (2016): Energy performance model development and occupancy number identification of institutional buildings. In: Energy and Buildings, v. 123 (Juli 2016).
- (2016): Time series forecasting for building energy consumption using weighted Support Vector Regression with differential evolution optimization technique. In: Energy and Buildings, v. 126 (August 2016).
- (2017): k-Shape clustering algorithm for building energy usage patterns analysis and forecasting model accuracy improvement. In: Energy and Buildings, v. 146 (Juli 2017).
- (2018): Determining key variables influencing energy consumption in office buildings through cluster analysis of pre- and post-retrofit building data. In: Energy and Buildings, v. 159 (Januar 2018).
- (2019): Automated load disaggregation for residences with electrical resistance heating. In: Energy and Buildings, v. 182 (Januar 2019).
- (2020): Wireless sensor network for estimating building performance. In: Automation in Construction, v. 111 (März 2020).
- (2020): Identifying temporal properties of building components and indoor environment for building performance assessment. In: Building and Environment, v. 168 (Januar 2020).
- (2011): A simple technique to classify urban locations with respect to human thermal comfort: Proposing the HXG scale. In: Building and Environment, v. 46, n. 6 (Juni 2011).
- (2010): Evaluation of thermal comfort in a rail terminal location in India. In: Building and Environment, v. 45, n. 11 (November 2010).
- (2017): A simplified tool for building layout design based on thermal comfort simulations. In: Frontiers of Architectural Research, v. 6, n. 2 (Juni 2017).
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