Daily peak load forecasting (DPLF) and total daily load forecasting (TDLF) are essential for
optimal power system operation from one day to one week later. This study develops a …

Accurate predictions for buildings' energy performance (BEP) are crucial for retrofitting
investment decisions and building benchmarking. With the increasing data availability and …

Prediction of building energy consumption using mathematical modeling is crucial for
improving the efficiency of building energy utilization, assisting in building energy …

Currently, energy consumption is one of the most important research areas in the world. The
growing need to increase energy efficiency and improve the use of energy sources brings …

A forecast approach of water structure based on GM (1, 1) of the gray system is proposed.
Based on economic and water information of Hebei Province from 2000 to 2018, the water …

Buildings contribute to nearly 40% of the global carbon footprint with a significant proportion
of their carbon footprint is generated due to their energy consumption during the operational …

Abstract Digital Twins (DTs) are a relatively new concept in the construction industry. They
usually rely on calibrated physics-based simulation models for prediction purposes. Such …

The use of Digital Twin (DT) as an emerging technology-led development encompasses
data-driven methods which bring the benefit of enhancing better understanding of building …