Using a simulation-and optimization-based framework that leverages artificial neural
networks for the model predictive control of space heating operation, machine learning …

In recent years, there has been a significant increase in electricity consumption and carbon
emissions from households in smart buildings. This increase has had a profound impact on …

Municipal solid waste incineration (MSWI) is essential for tackling urban environmental
challenges and facilitating renewable energy recycling. The MSWI process has …

While earlier investigations into thermal perception focused on measuring the detection of
temperature changes across distinct bodily regions, the complex nature of thermal …

Megawatt‐impulse power generated by Tokamak fusion devices seriously threats to the
stable operation of the whole system. The current power supply scheme needs to leave …

Optimal building load scheduling is assuming a pivotal role in enhancing stability and
promoting sustainability in the modern energy sector. However, it is significantly challenging …

Apartment buildings (APBs) consist of multiple residential spaces and common facilities,
unlike single-family buildings, and have correspondingly diverse energy demands; however …

Due to the growth of electricity consumption in residential and commercial buildings, there is
a growing burden on utilities in urban areas. Sustainable buildings are being developed by …

Tracking model predictive control (MPC) and economic model predictive control (EMPC) are
essential techniques in process control. Economic model predictive control with zone …

Significant attempts have been made to make the electrical grid more intelligent and
responsive to better meet customers' requirements while boosting the stability and efficiency …