The paper addresses the problem of insufficient knowledge on the impact of noise on the
auto-regressive integrated moving average (ARIMA) model identification. The work offers a …

Forecasting short-term electrical load is very important so that the quality of the electrical
power supplied can be maintained properly. The study was conducted to measure the …

Numerous short-term load forecasting models are available in the literature. However, the
improvement in forecast accuracy using the combination models has yet to be analyzed on a …

Background: Stock price forecasting assists investors to anticipate risks and opportunities in
making prudent investments and maximizing returns. Objective: This study aims to identify …

The purpose of this paper is to present a novel approach to handle all-sensors losses of the
internal greenhouse environmental data due to the power cut throughout the greenhouse …

The paper addresses the problem of insufficient knowledge on the impact of noise on the
auto-regressive integrated moving average (ARIMA) model identification. The work offers a …

In life, electricity is an important and primary energy sources to meet the needs of human life,
in industry, economy and technology. Along with the increasing demand for electricity from …

En general, los sistemas eléctricos de potencia se encuentran expuestos a diversas fuentes
de incertidumbre, dentro de las cuales destaca el comportamiento de la demanda de …