Electric power forecasting plays a substantial role in the administration and balance of
current power systems. For this reason, accurate predictions of service demands are needed …

This paper addresses the mid-term electricity load forecasting problem. Solving this problem
is necessary for power system operation and planning as well as for negotiating forward …

This work presents a hybrid and hierarchical deep learning model for midterm load
forecasting. The model combines exponential smoothing (ETS), advanced long short-term …

In this paper a genetic algorithm (GA) approach to design of multi-layer perceptron (MLP) for
combined cycle power plant power output estimation is presented. Dataset used in this …

Hydropower is among the most efficient technologies to produce renewable electrical
energy. Hydropower systems present multiple advantages since they provide sustainable …

Electricity is one of the most important end-user energy types in today's world and has an
effective role in development of societies and economies. Stability of electricity supply is …

Pattern similarity-based frameworks are widely used for classification and regression
problems. Repeated, similar-shaped cycles observed in seasonal time series encourage the …

In our modern world, electricity is of immense importance as it has revolutionized the actual
world on every level. Electricity demand forecasting became a key component of every …

The increasing shortage of electricity in Pakistan disturbs almost all sectors of its economy.
As, for accurate policy formulation, precise and efficient forecasts of electricity consumption …

Medium-term electric energy demand forecasting is coming a key tool for energy
management, power system operation and maintenance scheduling. This paper offers a …