Research in energy prediction is widely explored as it is used in long term planning like
development investment and resource planning to estimating tariffs and analyzing and …

Decision making in the energy market has to be based on accurate forecasts of the load
demand. Therefore, Short Term Load Forecasting (STLF) is important tools in the energy …

Electricity theft caused a major loss for electricity power provider. The anomaly detection
helps to predict the abnormal load usage of a consumer. Usually, the classification method …

For utility companies, load forecasting is critical in all areas of system health management,
including but not restricted to electrical grid maintenance, power system operation, rate …

This study presents two innovative machine learning-based models: one for daily electrical
load forecasting in the State of Rio de Janeiro and another for monthly forecasting for each …

Traditional physical modelling and mathematical computation are unfeasible due to the
complexity and nonlinearities of the modern power system. Artificial intelligence and …

Power system engineers widely consider electric load forecasting because of its vital role in
economically optimizing and securing the efficient operation of the power system. A forecast …

Short-term predictive analysis on electrical load is of utmost importance to the utility
company. Load forecasting plays a key role in effective energy planning as well as …

Disturbances are a recurring issue in power systems. Nevertheless, our system remains
stable as extra signals are injected into the voltage regulators to prevent an unstable mode …

Renewable energy is an alternative for carbon-intensive energy sources that reduce global
warming emissions. The electricity demand prediction helps to predict the consumption …