Rishee K. Jain 
- (2024): Predicting indoor personalized heat stress using wearable sensors and data-driven models. In: Journal of Building Engineering, v. 97 (November 2024).
- (2025): EnergyPlus as a computational engine for commercial building operational digital twins. In: Energy and Buildings, v. 329 (February 2025).
- (2024): Multi-scale retrofit pathways for improving building performance and energy equity across cities: A UBEM framework. In: Energy and Buildings, v. 324 (December 2024).
- (2024): Design and investment strategy optimization of district cooling system during the ramp-up phase. In: Energy and Buildings, v. 321 (October 2024).
- (2024): E-Audit: A “no-touch” energy audit that integrates machine learning and simulation. In: Energy and Buildings, v. 317 (August 2024).
- (2023): Evaluating building decarbonization potential in U.S. cities under emissions based building performance standards and load flexibility requirements. In: Journal of Building Engineering, v. 76 (October 2023).
- (2023): Tropical climates and the interplay between IEQ and energy consumption in buildings: A review. In: Building and Environment, v. 242 (August 2023).
- (2023): Invisible walls: Exploration of microclimate effects on building energy consumption in New York City. In: Sustainable Cities and Society, v. 90 (March 2023).
- (2021): Context-aware Urban Energy Analytics (CUE-A): A framework to model relationships between building energy use and spatial proximity of urban systems. In: Sustainable Cities and Society, v. 72 (September 2021).
- (2021): Data-driven optimization of building layouts for energy efficiency. In: Energy and Buildings, v. 238 (May 2021).
- (2015): Modeling the determinants of large-scale building water use: Implications for data-driven urban sustainability policy. In: Sustainable Cities and Society, v. 18 (November 2015).
- (2012): Assessing eco-feedback interface usage and design to drive energy efficiency in buildings. In: Energy and Buildings, v. 48 (May 2012).
- (2013): Investigating the impact eco-feedback information representation has on building occupant energy consumption behavior and savings. In: Energy and Buildings, v. 64 (September 2013).
- (2013): Can social influence drive energy savings? Detecting the impact of social influence on the energy consumption behavior of networked users exposed to normative eco-feedback. In: Energy and Buildings, v. 66 (November 2013).
- (2014): The impact of combined water and energy consumption eco-feedback on conservation. In: Energy and Buildings, v. 80 (September 2014).
- (2020): Simulation-aided occupant-centric building design: A critical review of tools, methods, and applications. In: Energy and Buildings, v. 224 (October 2020).
- (2018): DUE-B: Data-driven urban energy benchmarking of buildings using recursive partitioning and stochastic frontier analysis. In: Energy and Buildings, v. 163 (March 2018).
- (2019): Understanding the adoption and usage of data analytics and simulation among building energy management professionals: A nationwide survey. In: Building and Environment, v. 157 (June 2019).
- (2019): Computational Approaches to Enable Smart and Sustainable Urban Systems. In: Journal of Computing in Civil Engineering, v. 33, n. 6 (November 2019).
- (2019): Urban Data Integration Using Proximity Relationship Learning for Design, Management, and Operations of Sustainable Urban Systems. In: Journal of Computing in Civil Engineering, v. 33, n. 2 (March 2019).
- (2014): Network Ecoinformatics: Development of a Social Ecofeedback System to Drive Energy Efficiency in Residential Buildings. In: Journal of Computing in Civil Engineering, v. 28, n. 1 (January 2014).
- (2017): OESPG: Computational Framework for Multidimensional Analysis of Occupant Energy Use Data in Commercial Buildings. In: Journal of Computing in Civil Engineering, v. 31, n. 4 (July 2017).
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