Dr Chirag Deb
Chirag Deb is a Lecturer in Building Science at the School of Architecture, Design and Planning, University of Sydney. His work and interests span across the fields of energy in buildings and cities, building sensing technology, indoor environmental quality, time series analysis, and data-driven energy modelling. Chirag received his PhD from the National University of Singapore (NUS) in 2017 for which he was awarded the President’s Graduate Fellowship. He holds a bachelor’s degree in Architecture from NIT Trichy where he was awarded the institute gold medal. He also holds a M.S. (by research) degree in Civil Engineering from IIT Madras. Chirag was a postdoc in the Chair of Architecture and Building Systems at ETH Zurich, Switzerland from 2017 to 2021 and was involved in the International Energy Agency’s EBC Annex-71 project. Before moving to Sydney in 2023, he worked as an Assistant Professor in the Centre for Urban Science and Engineering at IIT Bombay in Mumbai where he established the Data & Energy in Buildings & Cities laboratory (DebCLab) and was the receiver of the Young Faculty Award 2021. He serves as the Early Career Board Member for the Energy and Buildings journal and as a review editor for the Frontiers in Built Environment and Frontiers in Sustainable Cities journals. Chirag is among the world's top 2% most-cited scientists in 2023.
Building Science
- Building energy modelling
- Energy retrofitting
- Energy systems
- Sensing technology
- Time series analysis
- Intelligent building controls
- Indoor environmental quality
Urban Science
- Urban building energy modelling (UBEM)
- Big data and top-down approaches
- Remote sensing
- Retrofitting communities and neighborhoods
- DESC9673 Intelligent Building Control Systems
- DESC9674 Building Information Management
Big data for sustainable cities: Developing a real time urban expansion tracker for India using satelliteimagery, machine learning and geographic data science, Somwrita Sarkar, David Levinson, Chirag Deb, Arnab Jana, Eswar Rajasekaran -International SDG Collaboration Program, University of Sydney
- Energy and Buildings journal: Early Career Editorial Board member
- Frontiers in Built Environment: Review Editor
- Frontiers in Sustainable Cities: Review Editor
Publications
Book Chapters
- Deb, C. (2022). Data-Driven Urban Energy Modeling: Global Trends and India. In Pradipta Banerji, Arnab Jana (Eds.), Advances in Urban Design and Engineering. Design Science and Innovation, (pp. 237-252). Singapore: Springer Singapore. [More Information]
Journals
- Mondal, N., Anand, P., Khan, A., Deb, C., Cheong, D., Sekhar, C., Niyogi, D., Santamouris, M. (2024). Systematic review of the efficacy of data-driven urban building energy models during extreme heat in cities: Current trends and future outlook. Building Simulation. [More Information]
- Gupta, V., Deb, C. (2023). Envelope design for low-energy buildings in the tropics: A review. Renewable and Sustainable Energy Reviews, 186, 113650. [More Information]
- Anand, A., Deb, C. (2023). The potential of remote sensing and GIS in urban building energy modelling. Energy and Built Environment, In Press. [More Information]
- Verma, A., Gupta, V., Nihar, K., Jana, A., Jain, R., Deb, C. (2023). Tropical climates and the interplay between IEQ and energy consumption in buildings: A review. Building and Environment, 242(110551). [More Information]
- Singh, M., Deb, C., Geyer, P. (2022). Early-stage design support combining machine learning and building information modelling. Automation in Construction, 136. [More Information]
- Singh, M., Deb, C., Geyer, P. (2022). Early-stage design support combining machine learning and building information modelling. Automation in Construction, 136, 104147. [More Information]
- Gupta, V., Deb, C. (2022). Energy Retrofit analysis for an educational building in Mumbai. Sustainable Futures: an applied journal of technology, environment and society, 4. [More Information]
- Gupta, V., Deb, C. (2022). Energy retrofit analysis for an educational building in Mumbai. Sustainable Futures, 4(100096). [More Information]
- Deb, C., Dai, Z., Schlueter, A. (2021). A machine learning-based framework for cost-optimal building retrofit. Applied Energy, 294. [More Information]
- Deb, C., Dai, Z., Schlueter, A. (2021). A machine learning-based framework for cost-optimal building retrofit. Applied Energy, 294, 116990. [More Information]
- Frei, M., Deb, C., Nagy, Z., Hischier, I., Schlueter, A. (2021). Building Energy Performance Assessment Using an Easily Deployable Sensor Kit: Process, Risks, and Lessons Learned. Frontiers in Built Environment, 6. [More Information]
- Frei, M., Deb, C., Nagy, Z., Hischier, I., Schlueter, A. (2021). Building Energy Performance Assessment Using an Easily Deployable Sensor Kit: Process, Risks, and Lessons Learned. Frontiers in Built Environment, 6(609877). [More Information]
- Frei, M., Hischier, I., Deb, C., Sigrist, D., Schlueter, A. (2021). Impact of Measurement Uncertainty on Building Modeling and Retrofitting Decisions. Frontiers in Built Environment, 7. [More Information]
- Deb, C., Gelder, L., Spiekman, M., Pandraud, G., Jack, R., Fitton, R. (2021). Measuring the heat transfer coefficient (HTC) in buildings: A stakeholder's survey. Renewable and Sustainable Energy Reviews, 144. [More Information]
- Deb, C., Gelder, L., Spiekman, M., Pandraud, G., Jack, R., Fitton, R. (2021). Measuring the heat transfer coefficient (HTC) in buildings: A stakeholder's survey. Renewable and Sustainable Energy Reviews, 144(111008). [More Information]
- Anand, P., Deb, C., Yan, K., Yang, J., Cheong, D., Sekhar, C. (2021). Occupancy-based energy consumption modelling using machine learning algorithms for institutional buildings. Energy and Buildings, 252. [More Information]
- Anand, P., Deb, C., Yan, K., Yang, J., Cheong, D., Sekhar, C. (2021). Occupancy-based energy consumption modelling using machine learning algorithms for institutional buildings. Energy and Buildings, 252, 111478. [More Information]
- Deb, C., Schlueter, A. (2021). Review of data-driven energy modelling techniques for building retrofit. Renewable and Sustainable Energy Reviews, 144. [More Information]
- Deb, C., Schlueter, A. (2021). Review of data-driven energy modelling techniques for building retrofit. Renewable and Sustainable Energy Reviews, 144, 110990. [More Information]
- Cozza, S., Chambers, J., Deb, C., Scartezzini, J., Schlueter, A., Patel, M. (2020). Do energy performance certificates allow reliable predictions of actual energy consumption and savings? Learning from the Swiss national database. Energy and Buildings, 224. [More Information]
- Deb, C., Frei, M., Schlueter, A. (2020). Identifying temporal properties of building components and indoor environment for building performance assessment. Building and Environment, 168. [More Information]
- Deb, C., Frei, M., Schlueter, A. (2020). Identifying temporal properties of building components and indoor environment for building performance assessment. Building and Environment, 168(106506). [More Information]
- Westermann, P., Deb, C., Schlueter, A., Evins, R. (2020). Unsupervised learning of energy signatures to identify the heating system and building type using smart meter data. Applied Energy, 264. [More Information]
- Westermann, P., Deb, C., Schlueter, A., Evins, R. (2020). Unsupervised learning of energy signatures to identify the heating system and building type using smart meter data. Applied Energy, 264, 114715. [More Information]
- Frei, M., Deb, C., Stadler, R., Nagy, Z., Schlueter, A. (2020). Wireless sensor network for estimating building performance. Automation in Construction, 111. [More Information]
- Frei, M., Deb, C., Stadler, R., Nagy, Z., Schlueter, A. (2020). Wireless sensor network for estimating building performance. Automation in Construction, 111, 103043. [More Information]
- Deb, C., Frei, M., Hofer, J., Schlueter, A. (2019). Automated load disaggregation for residences with electrical resistance heating. Energy and Buildings, 182, 61-74. [More Information]
- Deb, C., Frei, M., Hofer, J., Schlueter, A. (2019). Automated load disaggregation for residences with electrical resistance heating. Energy and Buildings, 182, 61-74. [More Information]
- Sigrist, D., Deb, C., Frei, M., Schlüter, A. (2019). Cost-optimal retrofit analysis for residential buildings. Journal of Physics: Conference Series, 1343 (012030). [More Information]
- Deb, C., Lee, S. (2018). Determining key variables influencing energy consumption in office buildings through cluster analysis of pre- and post-retrofit building data. Energy and Buildings, 159, 228-245. [More Information]
- Deb, C., Lee, S. (2018). Determining key variables influencing energy consumption in office buildings through cluster analysis of pre-and post-retrofit building data. Energy and Buildings, 159, 228-245. [More Information]
- Deb, C., Lee, S., Santamouris, M. (2018). Using artificial neural networks to assess HVAC related energy saving in retrofitted office buildings. Solar Energy, 163, 32-44. [More Information]
- Deb, C., Lee, S., Santamouris, M. (2018). Using artificial neural networks to assess HVAC related energy saving in retrofitted office buildings. Solar Energy, 163, 32-44. [More Information]
- Deb, C., Zhang, F., Yang, J., Lee, S., Shah, K. (2017). A review on time series forecasting techniques for building energy consumption. Renewable and Sustainable Energy Reviews, 74, 902-924. [More Information]
- Deb, C., Zhang, F., Yang, J., Lee, S., Shah, K. (2017). A review on time series forecasting techniques for building energy consumption. Renewable and Sustainable Energy Reviews, 74, 902-924. [More Information]
- Anand, P., Deb, C., Ramachandraiah, A. (2017). A simplified tool for building layout design based on thermal comfort simulations. Frontiers of Architectural Research, 6(2), 218-230. [More Information]
- Anand, P., Deb, C., Alur, R. (2017). A simplified tool for building layout design based on thermal comfort simulations. Frontiers of Architectural Research, 6(2), 218-230. [More Information]
- Yang, J., Ning, C., Deb, C., Zhang, F., Cheong, D., Lee, S., Sekhar, C., Tham, K. (2017). k-Shape clustering algorithm for building energy usage patterns analysis and forecasting model accuracy improvement. Energy and Buildings, 146, 27-37. [More Information]
- Yang, J., Ning, C., Deb, C., Zhang, F., Cheong, D., Lee, S., Sekhar, C., Tham, K. (2017). k-Shape clustering algorithm for building energy usage patterns analysis and forecasting model accuracy improvement. Energy and Buildings, 146, 27-37. [More Information]
- Yang, J., Santamouris, M., Lee, S., Deb, C. (2016). Energy performance model development and occupancy number identification of institutional buildings. Energy and Buildings, 123, 192-204. [More Information]
- Yang, J., Santamouris, M., Lee, S., Deb, C. (2016). Energy performance model development and occupancy number identification of institutional buildings. Energy and Buildings, 123, 192-204. [More Information]
- Deb, C., Lee, S., Yang, J., Santamouris, M. (2016). Forecasting diurnal cooling energy load for institutional buildings using Artificial Neural Networks. Energy and Buildings, 121, 284-297. [More Information]
- Deb, C., Eang, L., Yang, J., Santamouris, M. (2016). Forecasting diurnal cooling energy load for institutional buildings using Artificial Neural Networks. Energy and Buildings, 121, 284-297. [More Information]
- Zhang, F., Deb, C., Lee, S., Yang, J., Shah, K. (2016). Time series forecasting for building energy consumption using weighted Support Vector Regression with differential evolution optimization technique. Energy and Buildings, 126, 94-103. [More Information]
- Zhang, F., Deb, C., Lee, S., Yang, J., Shah, K. (2016). Time series forecasting for building energy consumption using weighted Support Vector Regression with differential evolution optimization technique. Energy and Buildings, 126, 94-103. [More Information]
- Deb, C., Eang, L., Yang, J., Santamouris, M. (2015). Forecasting energy consumption of institutional buildings in Singapore. Procedia Engineering, 121, 1734-1740. [More Information]
- Yang, J., Santamouris, M., Eang Lee, S., Deb, C. (2015). Model Development and Comparison for the Evaluation of the Energy Performance of Three Tertiary Institutional Buildings in Singapore. Procedia Engineering, 121, 1133-1143. [More Information]
- Saber, E., Lee, S., Manthapuri, S., Yi, W., Deb, C. (2014). PV (photovoltaics) performance evaluation and simulation-based energy yield prediction for tropical buildings. Energy, 71, 588-595. [More Information]
- Saber, E., Lee, S., Manthapuri, S., Yi, W., Deb, C. (2014). PV (photovoltaics) performance evaluation and simulation-based energy yield prediction for tropical buildings. Energy, 71, 588-595. [More Information]
- Deb, C., Ramachandraiah, A. (2011). A simple technique to classify urban locations with respect to human thermal comfort: Proposing the HXG scale. Building and Environment, 46(6), 1321-1328. [More Information]
- Deb, C., Ramachandraiah, A. (2011). A simple technique to classify urban locations with respect to human thermal comfort: Proposing the HXG scale. Building and Environment, 46(6), 1321-1328. [More Information]
- Deb, C., Ramachandraiah, A. (2011). Review of studies on outdoor thermal comfort using physiological equivalent temperature (PET). Institution of Engineers (India). Architectural Engineering. Journal, 92(APRIL), 38-41.
- Deb, C., Ramachandraiah, A. (2010). Evaluation of thermal comfort in a rail terminal location in India. Building and Environment, 45(11), 2571-2580. [More Information]
- Deb, C., Ramachandraiah, A. (2010). Evaluation of thermal comfort in a rail terminal location in India. Building and Environment, 45(11), 2571-2580. [More Information]
- Deb, C., Ramachandraiah, A. (2010). The significance of Physiological Equivalent Temperature (PET) in outdoor thermal comfort studies. Engineering Science and Technology, an International Journal (JESTECH) (formerly Technology), 2(7), 2825-2828.
Conferences
- Deb, C., Lee, S., Yang, J., Shah, K. (2023). A methodology for energy audit for commercial buildings using machine learning tools. International High- Performance Built Environment Conference – A Sustainable Built Environment Conference 2016 Series (SBE16), iHBE 2016, Sydney: Elsevier.
- Kalluri, B., Dhariwal, J., Arjunan, P., Anand, P., Deb, C. (2022). BenchSys 2022: The First ACM SIGEnergy Workshop on Advancements in Building Energy Benchmarking Systems. 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2022, New York: Association for Computing Machinery (ACM). [More Information]
- Dudani, J., Gupta, V., Deb, C. (2022). Building Energy Benchmarking in India: A Discussion. 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2022, New York: Association for Computing Machinery (ACM). [More Information]
- Budamagunta, M., Gaur, A., Verma, A., Anand, A., Deb, C. (2022). Clustering Indian districts based on multidimensional demographic and climate data. 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2022, New York: Association for Computing Machinery (ACM). [More Information]
- Kalluri, B., Dhariwal, J., Arjunan, P., Anand, P., Deb, C. (2022). The way forward for building energy benchmarking in India. 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2022, New York: Association for Computing Machinery (ACM). [More Information]
- Sigrist, D., Deb, C., Schlueter, A. (2021). A Calibrated RC Model for Data-Driven Retrofit Analysis of a Residential Building. eSIM 2021, Canada: eSIM2020. [More Information]
- Deb, C., Dai, Z., Schlueter, A. (2021). Analyzing building envelope retrofit strategies using a neural network model based on sensor data. eSIM 2021, Canada: eSIM2020.
- Yang, J., Santamouris, M., Lee, S., Deb, C. (2016). Decrease the anthropogenic heat in University Campus through advanced energy consumption management and retrofitting strategies. 4th International Conference on Countermeasures to Urban Heat Islands (IC2UHI), Singapore: IC2UHI 2016.
2024
- Mondal, N., Anand, P., Khan, A., Deb, C., Cheong, D., Sekhar, C., Niyogi, D., Santamouris, M. (2024). Systematic review of the efficacy of data-driven urban building energy models during extreme heat in cities: Current trends and future outlook. Building Simulation. [More Information]
2023
- Deb, C., Lee, S., Yang, J., Shah, K. (2023). A methodology for energy audit for commercial buildings using machine learning tools. International High- Performance Built Environment Conference – A Sustainable Built Environment Conference 2016 Series (SBE16), iHBE 2016, Sydney: Elsevier.
- Gupta, V., Deb, C. (2023). Envelope design for low-energy buildings in the tropics: A review. Renewable and Sustainable Energy Reviews, 186, 113650. [More Information]
- Anand, A., Deb, C. (2023). The potential of remote sensing and GIS in urban building energy modelling. Energy and Built Environment, In Press. [More Information]
- Verma, A., Gupta, V., Nihar, K., Jana, A., Jain, R., Deb, C. (2023). Tropical climates and the interplay between IEQ and energy consumption in buildings: A review. Building and Environment, 242(110551). [More Information]
2022
- Kalluri, B., Dhariwal, J., Arjunan, P., Anand, P., Deb, C. (2022). BenchSys 2022: The First ACM SIGEnergy Workshop on Advancements in Building Energy Benchmarking Systems. 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2022, New York: Association for Computing Machinery (ACM). [More Information]
- Dudani, J., Gupta, V., Deb, C. (2022). Building Energy Benchmarking in India: A Discussion. 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2022, New York: Association for Computing Machinery (ACM). [More Information]
- Budamagunta, M., Gaur, A., Verma, A., Anand, A., Deb, C. (2022). Clustering Indian districts based on multidimensional demographic and climate data. 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2022, New York: Association for Computing Machinery (ACM). [More Information]
- Deb, C. (2022). Data-Driven Urban Energy Modeling: Global Trends and India. In Pradipta Banerji, Arnab Jana (Eds.), Advances in Urban Design and Engineering. Design Science and Innovation, (pp. 237-252). Singapore: Springer Singapore. [More Information]
- Singh, M., Deb, C., Geyer, P. (2022). Early-stage design support combining machine learning and building information modelling. Automation in Construction, 136. [More Information]
- Singh, M., Deb, C., Geyer, P. (2022). Early-stage design support combining machine learning and building information modelling. Automation in Construction, 136, 104147. [More Information]
- Gupta, V., Deb, C. (2022). Energy Retrofit analysis for an educational building in Mumbai. Sustainable Futures: an applied journal of technology, environment and society, 4. [More Information]
- Gupta, V., Deb, C. (2022). Energy retrofit analysis for an educational building in Mumbai. Sustainable Futures, 4(100096). [More Information]
- Kalluri, B., Dhariwal, J., Arjunan, P., Anand, P., Deb, C. (2022). The way forward for building energy benchmarking in India. 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2022, New York: Association for Computing Machinery (ACM). [More Information]
2021
- Sigrist, D., Deb, C., Schlueter, A. (2021). A Calibrated RC Model for Data-Driven Retrofit Analysis of a Residential Building. eSIM 2021, Canada: eSIM2020. [More Information]
- Deb, C., Dai, Z., Schlueter, A. (2021). A machine learning-based framework for cost-optimal building retrofit. Applied Energy, 294. [More Information]
- Deb, C., Dai, Z., Schlueter, A. (2021). A machine learning-based framework for cost-optimal building retrofit. Applied Energy, 294, 116990. [More Information]
- Deb, C., Dai, Z., Schlueter, A. (2021). Analyzing building envelope retrofit strategies using a neural network model based on sensor data. eSIM 2021, Canada: eSIM2020.
- Frei, M., Deb, C., Nagy, Z., Hischier, I., Schlueter, A. (2021). Building Energy Performance Assessment Using an Easily Deployable Sensor Kit: Process, Risks, and Lessons Learned. Frontiers in Built Environment, 6. [More Information]
- Frei, M., Deb, C., Nagy, Z., Hischier, I., Schlueter, A. (2021). Building Energy Performance Assessment Using an Easily Deployable Sensor Kit: Process, Risks, and Lessons Learned. Frontiers in Built Environment, 6(609877). [More Information]
- Frei, M., Hischier, I., Deb, C., Sigrist, D., Schlueter, A. (2021). Impact of Measurement Uncertainty on Building Modeling and Retrofitting Decisions. Frontiers in Built Environment, 7. [More Information]
- Deb, C., Gelder, L., Spiekman, M., Pandraud, G., Jack, R., Fitton, R. (2021). Measuring the heat transfer coefficient (HTC) in buildings: A stakeholder's survey. Renewable and Sustainable Energy Reviews, 144. [More Information]
- Deb, C., Gelder, L., Spiekman, M., Pandraud, G., Jack, R., Fitton, R. (2021). Measuring the heat transfer coefficient (HTC) in buildings: A stakeholder's survey. Renewable and Sustainable Energy Reviews, 144(111008). [More Information]
- Anand, P., Deb, C., Yan, K., Yang, J., Cheong, D., Sekhar, C. (2021). Occupancy-based energy consumption modelling using machine learning algorithms for institutional buildings. Energy and Buildings, 252. [More Information]
- Anand, P., Deb, C., Yan, K., Yang, J., Cheong, D., Sekhar, C. (2021). Occupancy-based energy consumption modelling using machine learning algorithms for institutional buildings. Energy and Buildings, 252, 111478. [More Information]
- Deb, C., Schlueter, A. (2021). Review of data-driven energy modelling techniques for building retrofit. Renewable and Sustainable Energy Reviews, 144. [More Information]
- Deb, C., Schlueter, A. (2021). Review of data-driven energy modelling techniques for building retrofit. Renewable and Sustainable Energy Reviews, 144, 110990. [More Information]
2020
- Cozza, S., Chambers, J., Deb, C., Scartezzini, J., Schlueter, A., Patel, M. (2020). Do energy performance certificates allow reliable predictions of actual energy consumption and savings? Learning from the Swiss national database. Energy and Buildings, 224. [More Information]
- Deb, C., Frei, M., Schlueter, A. (2020). Identifying temporal properties of building components and indoor environment for building performance assessment. Building and Environment, 168. [More Information]
- Deb, C., Frei, M., Schlueter, A. (2020). Identifying temporal properties of building components and indoor environment for building performance assessment. Building and Environment, 168(106506). [More Information]
- Westermann, P., Deb, C., Schlueter, A., Evins, R. (2020). Unsupervised learning of energy signatures to identify the heating system and building type using smart meter data. Applied Energy, 264. [More Information]
- Westermann, P., Deb, C., Schlueter, A., Evins, R. (2020). Unsupervised learning of energy signatures to identify the heating system and building type using smart meter data. Applied Energy, 264, 114715. [More Information]
- Frei, M., Deb, C., Stadler, R., Nagy, Z., Schlueter, A. (2020). Wireless sensor network for estimating building performance. Automation in Construction, 111. [More Information]
- Frei, M., Deb, C., Stadler, R., Nagy, Z., Schlueter, A. (2020). Wireless sensor network for estimating building performance. Automation in Construction, 111, 103043. [More Information]
2019
- Deb, C., Frei, M., Hofer, J., Schlueter, A. (2019). Automated load disaggregation for residences with electrical resistance heating. Energy and Buildings, 182, 61-74. [More Information]
- Deb, C., Frei, M., Hofer, J., Schlueter, A. (2019). Automated load disaggregation for residences with electrical resistance heating. Energy and Buildings, 182, 61-74. [More Information]
- Sigrist, D., Deb, C., Frei, M., Schlüter, A. (2019). Cost-optimal retrofit analysis for residential buildings. Journal of Physics: Conference Series, 1343 (012030). [More Information]
2018
- Deb, C., Lee, S. (2018). Determining key variables influencing energy consumption in office buildings through cluster analysis of pre- and post-retrofit building data. Energy and Buildings, 159, 228-245. [More Information]
- Deb, C., Lee, S. (2018). Determining key variables influencing energy consumption in office buildings through cluster analysis of pre-and post-retrofit building data. Energy and Buildings, 159, 228-245. [More Information]
- Deb, C., Lee, S., Santamouris, M. (2018). Using artificial neural networks to assess HVAC related energy saving in retrofitted office buildings. Solar Energy, 163, 32-44. [More Information]
- Deb, C., Lee, S., Santamouris, M. (2018). Using artificial neural networks to assess HVAC related energy saving in retrofitted office buildings. Solar Energy, 163, 32-44. [More Information]
2017
- Deb, C., Zhang, F., Yang, J., Lee, S., Shah, K. (2017). A review on time series forecasting techniques for building energy consumption. Renewable and Sustainable Energy Reviews, 74, 902-924. [More Information]
- Deb, C., Zhang, F., Yang, J., Lee, S., Shah, K. (2017). A review on time series forecasting techniques for building energy consumption. Renewable and Sustainable Energy Reviews, 74, 902-924. [More Information]
- Anand, P., Deb, C., Ramachandraiah, A. (2017). A simplified tool for building layout design based on thermal comfort simulations. Frontiers of Architectural Research, 6(2), 218-230. [More Information]
- Anand, P., Deb, C., Alur, R. (2017). A simplified tool for building layout design based on thermal comfort simulations. Frontiers of Architectural Research, 6(2), 218-230. [More Information]
- Yang, J., Ning, C., Deb, C., Zhang, F., Cheong, D., Lee, S., Sekhar, C., Tham, K. (2017). k-Shape clustering algorithm for building energy usage patterns analysis and forecasting model accuracy improvement. Energy and Buildings, 146, 27-37. [More Information]
- Yang, J., Ning, C., Deb, C., Zhang, F., Cheong, D., Lee, S., Sekhar, C., Tham, K. (2017). k-Shape clustering algorithm for building energy usage patterns analysis and forecasting model accuracy improvement. Energy and Buildings, 146, 27-37. [More Information]
2016
- Yang, J., Santamouris, M., Lee, S., Deb, C. (2016). Decrease the anthropogenic heat in University Campus through advanced energy consumption management and retrofitting strategies. 4th International Conference on Countermeasures to Urban Heat Islands (IC2UHI), Singapore: IC2UHI 2016.
- Yang, J., Santamouris, M., Lee, S., Deb, C. (2016). Energy performance model development and occupancy number identification of institutional buildings. Energy and Buildings, 123, 192-204. [More Information]
- Yang, J., Santamouris, M., Lee, S., Deb, C. (2016). Energy performance model development and occupancy number identification of institutional buildings. Energy and Buildings, 123, 192-204. [More Information]
- Deb, C., Lee, S., Yang, J., Santamouris, M. (2016). Forecasting diurnal cooling energy load for institutional buildings using Artificial Neural Networks. Energy and Buildings, 121, 284-297. [More Information]
- Deb, C., Eang, L., Yang, J., Santamouris, M. (2016). Forecasting diurnal cooling energy load for institutional buildings using Artificial Neural Networks. Energy and Buildings, 121, 284-297. [More Information]
- Zhang, F., Deb, C., Lee, S., Yang, J., Shah, K. (2016). Time series forecasting for building energy consumption using weighted Support Vector Regression with differential evolution optimization technique. Energy and Buildings, 126, 94-103. [More Information]
- Zhang, F., Deb, C., Lee, S., Yang, J., Shah, K. (2016). Time series forecasting for building energy consumption using weighted Support Vector Regression with differential evolution optimization technique. Energy and Buildings, 126, 94-103. [More Information]
2015
- Deb, C., Eang, L., Yang, J., Santamouris, M. (2015). Forecasting energy consumption of institutional buildings in Singapore. Procedia Engineering, 121, 1734-1740. [More Information]
- Yang, J., Santamouris, M., Eang Lee, S., Deb, C. (2015). Model Development and Comparison for the Evaluation of the Energy Performance of Three Tertiary Institutional Buildings in Singapore. Procedia Engineering, 121, 1133-1143. [More Information]
2014
- Saber, E., Lee, S., Manthapuri, S., Yi, W., Deb, C. (2014). PV (photovoltaics) performance evaluation and simulation-based energy yield prediction for tropical buildings. Energy, 71, 588-595. [More Information]
- Saber, E., Lee, S., Manthapuri, S., Yi, W., Deb, C. (2014). PV (photovoltaics) performance evaluation and simulation-based energy yield prediction for tropical buildings. Energy, 71, 588-595. [More Information]
2011
- Deb, C., Ramachandraiah, A. (2011). A simple technique to classify urban locations with respect to human thermal comfort: Proposing the HXG scale. Building and Environment, 46(6), 1321-1328. [More Information]
- Deb, C., Ramachandraiah, A. (2011). A simple technique to classify urban locations with respect to human thermal comfort: Proposing the HXG scale. Building and Environment, 46(6), 1321-1328. [More Information]
- Deb, C., Ramachandraiah, A. (2011). Review of studies on outdoor thermal comfort using physiological equivalent temperature (PET). Institution of Engineers (India). Architectural Engineering. Journal, 92(APRIL), 38-41.
2010
- Deb, C., Ramachandraiah, A. (2010). Evaluation of thermal comfort in a rail terminal location in India. Building and Environment, 45(11), 2571-2580. [More Information]
- Deb, C., Ramachandraiah, A. (2010). Evaluation of thermal comfort in a rail terminal location in India. Building and Environment, 45(11), 2571-2580. [More Information]
- Deb, C., Ramachandraiah, A. (2010). The significance of Physiological Equivalent Temperature (PET) in outdoor thermal comfort studies. Engineering Science and Technology, an International Journal (JESTECH) (formerly Technology), 2(7), 2825-2828.