The body of knowledge on gray box building energy modeling (GBBEM) has been
developed over the past few decades and has undergone some important changes recently …

Nowadays, most areas of human activity should be reviewed with the aim of reducing CO 2
emissions, since these activities are producing the majority of these emissions. Specifically …

In this paper, an ontology-driven multi-agent based energy management system (EMS) is
proposed for monitoring and optimal control of an integrated homes/buildings and microgrid …

This paper is the second part of a two-part series presenting the results from an
experimental demonstration of frequency regulation in a commercial building test facility. In …

This paper presents and demonstrates, by numerical simulation, a Mixed-Integer Linear
Programming (MILP)-based Model Predictive Control (MPC) strategy for space-heating …

This paper considers a demand response agent that must find a near-optimal sequence of
decisions based on sparse observations of its environment. Extracting a relevant set of …

A model of a building's thermal dynamics is needed for prediction-based control. The task of
identifying a thermal dynamic model is made challenging by the presence of large …

While model predictive control (MPC) is a widely studied tool for integrating residential heat
pumps with the smart grid, modeling difficulties and hardware requirements are significant …

An accurate grey-box building thermal model is an essential component for prediction-
based control of split air conditioners. As the thermal performance of building envelope …

Commercial buildings are responsible for a large fraction of energy consumption in
developed countries, and therefore are targets of energy efficiency programs. Motivated by …