Rising market demands, economic pressures, and technological advancements have
spurred researchers to seek ways to enhance business environments and scientific …

Power generation and consumption predictions are fundamental for smart grid operations,
addressing challenges posed by renewable energy variability and irregular consumer …

It is important to study building energy consumption considering the current state of global
climate and its close relationship with building energy consumption. This study proposes a …

Despite the tightening of energy performance standards for buildings in various countries
and the increased use of efficient and renewable energy technologies, it is clear that the …

Accurate load forecasting is of utmost importance for modern power generation facilities to
effectively meet the ever-changing electricity demand. Predicting electricity consumption is a …

Time-series forecasting is crucial in the efficient operation and decision-making processes of
various industrial systems. Accurately predicting future trends is essential for optimizing …

n the current intelligent era, high-dimensional multivariate time-series (HMTS) data are
continuously monitored by heterogeneous devices from multiple observers in the Social …

Forecasting long-term energy consumption is essential to enhance resource utilization and
promote sustainability in campus buildings. This study employs a comprehensive approach …

Building energy performance (BEP) associated with climate change and urban heat island
effects (UHI) play an important role in urban sustainable development. To predict and …

The effective prediction of building energy consumption can be used to optimize building
operating modes and reduce the overall energy consumption and carbon emission of the …