An energy management system optimizes the self-consumption of a residential photovoltaic
installation, and the performance losses due to production uncertainties are evaluated. The …

This paper introduces a new multi-agent system approach to optimal control of high
performance buildings and presents algorithms for both distributed system identification and …

In the Paris subway system, stations represent about one-third of the overall energy
consumption. Within stations, ventilation is among the top consuming devices; it is operated …

This paper proposes an iterative distributed model predictive control (DMPC) algorithm for
multiple dynamically decoupling linear systems subject to both local state and input …

This paper presents a benchmark study of dual decomposition-based distributed
optimization algorithms applied to constraint-coupled model predictive control problems …

This paper presents a distributed model predictive control (DMPC) scheme for nonlinear
continuous-time systems. The underlying distributed optimal control problem is …

The present paper develops and compares three different Model Predictive Control (MPC)
strategies for Demand Response (DR) of building cooling in a" smart district": Decentralized …

This paper presents a mixed-integer linear programming-based optimization model for
simultaneous optimal load control and scheduling of distributed systems coupled through …

This paper proposes a Deep Reinforcement Learning approach for optimally managing
multi-energy systems in smart grids. The optimal control problem of the production and …

This work discusses three promising strategies for the compensation of deviations within the
online phase of a cooperative energy management concept. Whereas in the planning …