The balance between supplied and demanded power is a crucial issue in the economic
dispatching of electricity energy. With the emergence of renewable sources and data-driven …

The challenges currently faced by network operators are difficult and complex. Presently,
various types of energy sources with random generation, energy storage units operating in …

Although the methods of car's shape designing have undergone significant changes, the
drag coefficient has consistently act as a crucial indicator of a car's fuel efficiency and …

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 …

Background Maintaining machines effectively continues to be a challenge for industrial
organisations, which frequently employ reactive or premeditated methods. Recent research …

Deviations of power quality indices (PQI) from standard values in power supply systems of
industrial consumers lead to defective products, complete shutdown of production …

The induction motors found in industrial and commercial applications are responsible for
most of the energy consumption in the world. These machines are widely used because of …

This study presents an innovative method for real-time fault detection in electrical grids by
integrating Gradient Boosting Decision Trees (GBDT) with ensemble learning, termed …

Accurate forecasting of load, photovoltaic (PV), and prosumption is essential for energy
systems to reliably plan and operate smart grids, improve energy storage optimization, or …

Wastewater treatment processes are energy intensive, thus requiring improvement for
energy efficiency. Recent literature shows efforts to improve aspects of wastewater treatment …