The deployment of data-driven deep learning black-box models for thermal environment and
air conditioner energy consumption modeling has gained popularity due to their high …

The integrated electricity-heat-gas-hydrogen energy system with demand-side management
offers a promising pathway for multi-energy complementarity, efficient utilization, and flexible …

Abstract Model-based optimal demand-controlled ventilation (DCV) for multizone variable
air volume (VAV) systems has significant potential for reducing energy consumption and …

This paper developed a novel stochastic model predictive control (SMPC) strategy to
enhance the operational efficiency of office buildings. Firstly, an improved state space model …

Greenhouses in arid climates require advanced control systems to maintain the microclimate
and reduce energy utilization, ensuring economic viability. To address these challenges …

The implementation of BESS (battery energy storage systems) and the efficient optimization
of their scheduling are crucial research challenges in effectively managing the intermittency …

Accurate load prediction for each building is crucial for the optimized control of heating
networks in residential areas. However, current residential heating load feature selection …

This study proposed the cost-saving strategies of the data center with model-based
predictive control (MPC) for cooling energy management. Two models were estimated …