Distribution System Operators (DSOs) and Aggregators benefit from novel energy
forecasting (EF) approaches. Improved forecasting accuracy may make it easier to deal with …

Buildings account for over a third of end energy demand in many countries worldwide.
Modelling this demand accurately marks the first step in producing forecasts that can help …

Reduced environmental impacts, lower operating costs, and a stable, sustainable energy
supply for current and future generations are the main reasons why power optimization is …

Energy load forecasting is critical for sustainable building development and management.
Although the energy data could be collected through Internet of Things (IoT) systems, it is a …

Energy demand from the built environment is among the most important contributors to
greenhouse gas emissions. One promising way to curtail these emissions is through …

Observation and prediction models play important roles in intelligent building systems in
terms of holistic monitoring and optimal control. These models overcome the limitations of …

The short‐term load prediction is the critical operation in the peak demand administration
and power generation scheduling of buildings that integrated the smart solar microgrid …

Buildings and the construction sector make up about a third of the final energy consumption
and energy-related carbon dioxide emissions, offering a significant potential for emission …

Building energy management acts as the brain of the building, which controls the energy
supply based on sensor data and algorithms. However, existing methods only focus on …

Accurate power consumption forecasting is crucial for optimizing energy use in smart
buildings, improving efficiency and decision-making to enhance overall energy …