Accurate load forecasting is helpful for optimizing the use of power resources. To this end,
this investigation proposes a hybrid model for short-term load forecasting, namely the RF …

Load forecasting in power microgrids and load management systems is still a challenge and
needs an accurate method. Although in recent years, short-term load forecasting is done by …

Neuro-fuzzy systems have received considerable attention from academia in the last
decade. They can provide a tradeoff between the performance of artificial neural networks …

Short-term load forecasting is crucial for power demand-side management and the planning
of the power system. Considering the necessity of interval-valued time series modeling and …

Electric power makes a significant contribution to society. Predicting power generation is
becoming increasingly important for electric power planning and energy utilization. A …

During an era of rapid growth in electricity demand throughout society, accurate forecasting
of electricity loads has become increasingly important to guarantee a stable power supply …

An accurate prediction of buildings' load demand is one of the most important issues in
smart grid and smart building applications. In this way, an important contribution is made to …

The study of power load forecasting is gaining greater significance nowadays, particularly
with the use and integration of renewable power sources and external power stations …

Electricity load forecasting is a key aspect for power producers to maximize their economic
efficiency in deregulated markets. So far, many solutions have been employed to forecast …

In this study, a medium-and long-term power load prediction method is proposed based on
the two-layer categorical boosting (CatBoost) algorithm with multi-dimensional feature …