This paper provides a comprehensive overview and analysis of state-of-the-art technological
advancements in building integration in smart grids, with a focus on enabling their …

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

Artificial intelligence (AI) is increasingly essential for optimizing energy systems, addressing
the growing complexity of energy management, and supporting the integration of diverse …

Wind turbines are crucial to global renewable energy production, yet selecting the optimal
turbine for urban and park environments remains challenging. In this context, this study …

Buildings' significant contribution to global energy demand and emissions highlights the
need for precise energy forecasting for effective management. Existing research on energy …

Fixation is a critical step in green tea processing, and the moisture content of the leaves after
fixation is a key indicator of the fixation quality. Near-infrared spectroscopy (NIRS)-based …

Accurate forecasting of buildings' energy demand is essential for building operators to
manage loads and resources efficiently, and for grid operators to balance local production …

Estimating utility demand remains a significant challenge worldwide, being accuracy often
compromised by numerous variables involved and limited relevant data available; this …

Power transformers are electrical devices used in power distribution systems to increase
(step-up) or decrease (step-down) the electrical voltage to suit the needs of electricity users …

Wind energy plays a more significant role in power grids due to its eco-friendly and
renewable characteristics. This study proposes an improved prediction approach using the …