The increased digitalisation and monitoring of the energy system opens up numerous
opportunities to decarbonise the energy system. Applications on low voltage, local networks …

The intelligent management of power in electrical utilities depends on the high significance
of load forecasting models. Since the industries are digitalized, power generation is …

This paper investigates how existing forecasting models can be enhanced to accurately
forecast the electric load at factory level, enabling industrial companies to shift consumption …

With the growing amount of renewable energy sources, the grid has become responsible for
accounting for intermittency and the flexibility needed to utilize dynamic sources. Expensive …

The accurate forecasting of the hourly month-ahead electricity consumption represents a
very important aspect for non-household electricity consumers and system operators, and at …

Power consumption forecasting is a crucial need for power management to achieve
sustainable energy. The power demand is increasing over time, while the forecasting of …

To achieve Sustainable Development Goal 7 (SDG7), it is essential to detect the
spatiotemporal patterns of electricity consumption, particularly the spatiotemporal …

Power consumption management is crucial to maintaining the reliable operation of power
grids, especially in the context of the decarbonization of the electric power industry …

This study uses the Scopus and Web of Science databases to review quantitative methods
to forecast electricity consumption from 2015 to 2024. Using the PRISMA approach, 175 …

Much work has been carried out for modeling the output power of photovoltaic panels. Using
artificial neural networks (ANNS), one could efficiently model the output power of …