Integrating variable and non-dispatchable renewable power generation into existing power
systems will have consequences for their operation and future expansion. These impacts …

This study presents a comprehensive survey on the reliability evaluation of the electrical
network system. The impacts of integration of new and renewable energy sources (electric …

The imputeTS package specializes on univariate time series imputation. It offers multiple
state-of-the-art imputation algorithm implementations along with plotting functions for time …

In recent years, machine-learning techniques, particularly deep learning, have outperformed
traditional time-series forecasting approaches in many contexts, including univariate and …

This paper presents a new method based on the cost-benefit analysis for optimal sizing of
an energy storage system in a microgrid (MG). The unit commitment problem with spinning …

Environmental concerns and fuel cost uncertainties associated with the use of conventional
energy sources have resulted in rapid growth in the amount of wind energy connected to …

This paper proposes a stochastic wind power model based on an autoregressive integrated
moving average (ARIMA) process. The model takes into account the nonstationarity and …

Renewable energy sources, especially wind turbine generators, are considered as
important generation alternatives in electric power systems due to their nonexhausted …

Wind power–a renewable energy source increasingly attractive from an economic viewpoint–
constitutes an electricity production alternative of growing relevance in current electric …

In this paper, a modified auto regressive integrated moving average (ARIMA) modeling
procedure that can capture time correlation and probability distribution of observed wind …