Power consumption is a very important factor in smart grids for load management process.
Forecasting energy consumption is the first step in dealing with load management. For …

Forecasting of electricity consumption is a critical issue, due to its importance in the planning
of the energy trading countries. Several new techniques such as hybrid models are used as …

Abstract In continental Europe, automatic Frequency Restoration Reserve (aFRR) is the
second fastest control reserve market. Due to the complex auction design, market entrance …

The rapid expansion of the aviation industry has significantly increased energy consumption
within airport terminals. This study introduces an advanced ARIMAX model to forecast …

The demand for electricity has been continuously increasing over the years. To understand
the future consumption, a good predictive model is entailed. The ARIMA models have been …

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 …

Smart power forecasting enables energy conservation and resource planning. Power
estimation through previous utility bills is being replaced with machine intelligence. In this …

With serious energy poverty, especially concerning power shortages, the economic
development of India has been severely restricted. To some extent, power exploitation can …

The neural architecture is very substantial in order to construct a neural network model that
produce a minimum error. Several factors among others include the input choice, the …

Accuracy is very important in time series forecasting where the model obtained depends on
historical, linear, or nonlinear data patterns. This study aims to forecast short term electricity …