Load forecasting is a pivotal part of the power utility companies. To provide load-shedding
free and uninterrupted power to the consumer, decision-makers in the utility sector must …

The main and pivot part of electric companies is the load forecasting. Decision-makers and
think tank of power sectors should forecast the future need of electricity with large accuracy …

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 …

Accurate electric load forecasting is important due to its application in the decision making
and operation of the power grid. However, the electric load profile is a complex signal due to …

Short-term load forecasting is of great significance to the secure and efficient operation of
power systems. However, loads can be affected by a variety of external impact factors and …

This paper uses artificial neural networks (ANNs) based ensemble machine learning for
improving short-term electricity load forecasting. Unlike existing methods, the proposed …

Electricity load forecasting has been developed as an important issue in the deregulated
power system in recent years. Many researchers have been working on the prediction of …

Electricity load forecasting is an important part of power system dispatching. Accurately
forecasting electricity load have great impact on a number of departments in power systems …

This paper proposes a hybrid load forecasting framework with a new data preprocessing
algorithm to enhance the accuracy of prediction. Bayesian neural network (BNN) is used to …

Abstract Short-Term Electricity Load Forecasting (STLF) has become one of the hot topics of
energy research as it plays a crucial role in electricity markets and power systems. Few …