Meysam Razmara

According to our database, Meysam Razmara authored at least 9 papers between 2014 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Optimal Exergy-wise Predictive Control for a Combined MicroCSP and HVAC System in a Building.

Chethan R. Reddy, Meysam Razmara, Mahdi Shahbakhti, Rush D. Robinett

Proceedings of the 2019 American Control Conference, 2019

2018

Bilevel Optimization Framework for Smart Building-to-Grid Systems.

Meysam Razmara, Guna R. Bharati, Mahdi Shahbakhti, Sumit Paudyal, Rush D. Robinett

IEEE Trans. Smart Grid, 2018

Model Predictive Control for MicroCSP Integration into a Building HVAC System.

Mohamed Toub, Chethan R. Reddy, Meysam Razmara, Mahdi Shahbakhti, Rush D. Robinett, Ghassane Aniba

Proceedings of the 14th IEEE International Conference on Control and Automation, 2018

2017

Enabling Demand Response programs via Predictive Control of Building-to-Grid systems integrated with PV Panels and Energy Storage Systems.

Meysam Razmara, Guna R. Bharati, Drew Hanover, Mahdi Shahbakhti, Sumit Paudyal, Rush D. Robinett

Proceedings of the 2017 American Control Conference, 2017

2016

Novel Exergy-wise predictive control of Internal Combustion Engines.

Meysam Razmara, Mehran Bidarvatan, Mahdi Shahbakhti, Rush D. Robinett

Proceedings of the 2016 American Control Conference, 2016

Selecting control input type for a building predictive controller integrated in a power grid.

Jeremy S. Dobbs, Meysam Razmara, Mahdi Shahbakhti, Sumit Paudyal

Proceedings of the 2016 American Control Conference, 2016

2015

Exergy-based model predictive control for building HVAC systems.

Meysam Razmara, Mehdi Maasoumy, Mahdi Shahbakhti, Rush D. Robinett III

Proceedings of the American Control Conference, 2015

Bidirectional optimal operation of smart building-to-grid systems.

Meysam Razmara, Guna R. Bharati, Mahdi Shahbakhti, Sumit Paudyal, Rush D. Robinett

Proceedings of the American Control Conference, 2015

2014

Selecting building predictive control based on model uncertainty.

Mehdi Maasoumy, Meysam Razmara, Mahdi Shahbakhti, Alberto L. Sangiovanni-Vincentelli

Proceedings of the American Control Conference, 2014