Constantine E. Kontokosta
- Bias in smart city governance: How socio-spatial disparities in 311 complaint behavior impact the fairness of data-driven decisions. In: Sustainable Cities and Society, v. 64 (January 2021). (2021):
- 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). (2015):
- The Resilience to Emergencies and Disasters Index: Applying big data to benchmark and validate neighborhood resilience capacity. In: Sustainable Cities and Society, v. 36 (January 2018). (2018):
- Evaluation of tree-based ensemble learning algorithms for building energy performance estimation. In: Journal of Building Performance Simulation, v. 11, n. 3 (September 2017). (2017):
- Applications of machine learning methods to identifying and predicting building retrofit opportunities. In: Energy and Buildings, v. 128 (September 2016). (2016):
- Modeling the energy retrofit decision in commercial office buildings. In: Energy and Buildings, v. 131 (November 2016). (2016):
- Rethinking HVAC temperature setpoints in commercial buildings: The potential for zero-cost energy savings and comfort improvement in different climates. In: Building and Environment, v. 155 (May 2019). (2019):
- Tall Buildings and Urban Expansion: Tracing the Evolution of Zoning in the United States. In: Leadership and Management in Engineering (ASCE), v. 13, n. 3 (July 2013). (2013):