Anand completed his Master's in Energy Science, Technology and Policy from Carnegie Mellon University and also holds a Bachelor's degree in Computer Science from BITS Goa, India. His research focuses on using network connected devices in buildings for monitoring and optimized controls to improve building operations. Anand is also invovled in several projects that study grid-building interactions for demand response, resilience and load flexibility.
"Harvesting the low-hanging fruit of high energy savings -- Virtual Occupancy using Wi-Fi Data." ACEEE Summer Study. Virtual, 2020. .
"Solar+ Optimizer: A Model Predictive Control Optimization Platform for Grid Responsive Building Microgrids." Energies 13.12 (2020) 3093. .
"Mortar: An Open Testbed for Portable Building Analytics." ACM Transactions on Sensor Networks 16.1 (2020) 1 - 31. .
"Evaluation of the Need for and Design of a City Energy Operations System." Proceedings of the 1st ACM International Workshop on Urban Building Energy Sensing, Controls, Big Data Analysis, and Visualization - UrbSys'19. New York, New York, USA: ACM Press, 2019. .
Developing Flexible, Networked Lighting Control Systems That Reliably Save Energy in California Buildings. California Energy Commission, 2019. .
Energy Reporting: Device Demonstration, Communication Protocols, and Codes and Standards. Sacramento: California Energy Commission, 2019. .