In the smart grid, residential inverter air conditioners (AC) with significant demand response
(DR) potential due to their load flexibility and as the major contributors to peak electricity …

Starting from an application of a real medium-size university building, the present paper
focuses on the comparison among different ways to synthesize a predictive control scheme …

A cargo containment system (CCS) of liquefied natural gas (LNG) is an essential component
of an LNG carrier (LNGC). During the manufacturing process of the LNGC CCS, it is critical …

This paper presents a comparative analysis of different modeling and control techniques that
can be used to tackle the energy efficiency and management problems in buildings. Multiple …

In recent years, machine learning-based methods have become increasingly popular for
addressing control problems. Within the context of temperature control in buildings …

This paper discusses the adoption of a special Reinforcement Learning approach, namely
the Actor-Critic (AC) one, to the temperature control of medium-size buildings. In particular …

Developing the demand response control for the air conditioners of residential buildings has
been proven to be a highly effective strategy in assisting grid supply-demand balance and …

This paper proposes an EMPC (Explicit Model Predictive Controller) for temperature tracking
control based on heat load prediction by an ESO (Extended State Observer) for a variable …