Ali Razban
Engineering · Purdue University West Lafayette
Publications
63
Citations
997
Est. group size
~3
Recurring co-author estimate
Active years
37
Publishing since 1990
Ali Razban's research focuses on making buildings, especially heating, ventilation, and air conditioning (HVAC) systems, more energy-efficient and comfortable using data-driven and machine learning methods. His work covers topics like predicting occupancy and thermal comfort, optimizing ventilation and demand response, and applying model predictive control (a technique that uses forecasts to make real-time adjustments) to reduce energy use in commercial and educational buildings. He also explores privacy-preserving approaches to data collection and forecasting, such as federated learning applied to solar energy prediction.
Publication output has fluctuated over the past decade, peaking around 2019 and 2021, with a somewhat slower but steady pace of about 3-5 papers per year in recent years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- The Effects of Temperature, Production, and Occupancy on Electrical Maximum Demand in Commercial and Manufacturing Sectors
SSRN Electronic Journal · 2026
- Predicting thermal sensation vote in an educational building: A comparative assessment of PMV-based mapping and machine learning approaches
Energy and AI · 2026
- A review of occupancy detection techniques for HVAC control: Advances and practical challenges
Journal of Building Engineering · 2025
- A privacy-friendly approach for accurate indoor occupancy forecasting through environmental sensing and optimized sensor placement
Building and Environment · 2025
- Introducing a Novel Load/Unload Control Method for Maximizing the Energy Saving
SSRN Electronic Journal · 2025
- A Privacy-Friendly Framework for Accurate Indoor Occupancy Forecasting Through Environmental Sensing and Optimized Sensor Placement
SSRN Electronic Journal · 2025
- Enhancing thermal comfort prediction in an educational building via SMOTER and GA-optimized machine learning models
SSRN Electronic Journal · 2025
- Real-world implementation of a cloud-based MPC for HVAC control in educational buildings
Energy Conversion and Management · 2024
- Enhancing energy management system using Internet-of-Things sensors and energy simulation – A case study of industrial ventilation
2024
- Introducing a Novel Load/Unload Control Method for Maximizing the Energy Saving
SSRN Electronic Journal · 2024
- A bi-level data-driven framework for fault-detection and diagnosis of HVAC systems
Applied Energy · 2023
- Privacy-preserving federated learning: Application to behind-the-meter solar photovoltaic generation forecasting
Energy Conversion and Management · 2023
- Optimizing demand-controlled ventilation with thermal comfort and CO2 concentrations using long short-term memory and genetic algorithm
Building and Environment · 2023
- Optimizing Demand-Controlled Ventilation with Thermal Comfort and CO2 Concentrations Using Long Short-Term Memory and Genetic Algorithm
SSRN Electronic Journal · 2023
- Model predictive control of heating, ventilation, and air conditioning (HVAC) systems: A state-of-the-art review
Journal of Building Engineering · 2022
- SSRN Electronic Journal×6
- Building and Environment×3
- RePEc: Research Papers in Economics×3
- Journal of Building Engineering×2
- Applied Energy×2
- Parveen Dhillon
Engineering · Purdue University West Lafayette
- Kevin J. Kircher
Engineering · Purdue University West Lafayette
- Hemanth Devarapalli
Engineering · Purdue University West Lafayette
- Jie Cai
Engineering · Purdue University West Lafayette
- Panagiota Karava
Engineering · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile