Load forecasting is a vital part of smart grids for predicting the required electrical power
using artificial intelligence (AI). Deep learning is broadly used for load forecasting in the …

In the recent years, the demand for electricity is growing rapidly and the accuracy of load
demand forecast is crucial for providing the least cost and risk management plans. In the …

Technology has been playing a major role in our lives. One definition for technology is all
the knowledge, products, processes, tools, methods and systems employed in the creation …

The development of accurate models to forecast load demand across different time horizons
is challenging due to demand patterns and endogenous variables that affect short-term and …

Electrical demand forecasting is a key element within the electrical power system. STLF is
considered the most significant for many processes in the Power Grid. A slight improve in the …

The promising benefits of the renewable sources based on distributed generation are
pushing the future energy markets to invest more into the available renewable systems. This …

Load forecasting is a vital part of smart grids for predicting the required electrical power
using artificial intelligence (AI). Deep learning is broadly used for load forecasting in the …

The electric Load is affected by various factors such as economic, social, and meteorological
factors. This classification simplifies the studying of the correlation between these factors. It …

Yük tahmini, güç sistemlerinin planlanması ve işletilmesinde önemli bir role sahiptir. Enerji
piyasalarının özelleştirilmesi, her katılımcının rakipler üzerinde bir tür avantaj elde etmek için …

In order to improve the accuracy of short-term load forecasting, a power load forecasting
method based on the data driven concept is proposed in this paper. Before establishing the …