Energy is becoming an increasingly valuable and environmentally-sensitive resource. At PRECISE we are developing scheduling algorithms for control systems to improve the energy efficiency of homes and buildings. Inputs like weather, time-of-day, human occupancy, and other plant dynamics influence energy-minimal scheduling which must still maintain human comfort.

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Submissions from 2017

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Data Predictive Control for building energy management, Achin Jain, Madhur Behl, and Rahul Mangharam

Submissions from 2016

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Data-Driven Modeling, Control and Tools for Cyber-Physical Energy Systems, Madhur Behl, Achin Jain, and Rahul Mangharam

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DR-Advisor: A Data-Driven Demand Response Recommender System, Madhur Behl, Francesco Smarra, and Rahul Mangharam

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Data Predictive Control for Peak Power Reduction, Achin Jain, Madhur Behl, and Rahul Mangharam

Submissions from 2015

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Sometimes, Money Does Grow On Trees: Data-Driven Demand Response with DR-Advisor, Madhur Behl and Rahul Mangharam

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Sometimes, Money Does Grow on Trees: DR-Advisor, A Data Driven Demand Response Recommender System, Madhur Behl and Rahul Mangharam

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DR-Advisor: A Data Driven Demand Response Recommender System, Madhur Behl, Truong X. Nghiem, and Rahul Mangharam

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Campus-Wide Integrated Building Energy Simulation, Willy Bernal, Madhur Behl, Truong X. Nghiem, and Rahul Mangharam

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Scalable Scheduling of Energy Control Systems, Truong X. Nghiem and Rahul Mangharam

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Sensor Attack Detection in the Presence of Transient Faults, Junkil Park, Radoslav Ivanov, James Weimer, Miroslav Pajic, and Insup Lee

Submissions from 2014

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Evaluation of DR-Advisor on the ASHRAE Great Energy Predictor Shootout Challenge, Madhur Behl and Rahul Mangharam