Power transformers' reliability is of the highest importance for distribution networks. A
possible failure of them can interrupt the supply to consumers, which will cause …

Forecasting the industry's electricity consumption is essential for energy planning in a given
country or region. Thus, this study aims to apply time-series forecasting models (statistical …

In today's modern world, monthly forecasts of electricity consumption are vital in planning the
generation and distribution of energy utilities. However, the properties of these time series …

Crude oil price forecasting is an important research area in the international bulk commodity
market. However, as risk factors diversify, price movements exhibit more complex nonlinear …

Over the last 30 years, day-ahead electricity price forecasts have been critical to public and
private decision-making. This importance has increased since the global wave of …

In the modern era, air pollution is one of the most harmful environmental issues on the local,
regional, and global stages. Its negative impacts go far beyond ecosystems and the …

In the present liberalized energy markets, electricity demand forecasting is critical for
planning of generation capacity and required resources. An accurate and efficient electricity …

The Brazilian industrial sector is the largest electricity consumer in the power system. Energy
planning in this sector is important mainly due to its economic, social, and environmental …

Singular spectrum analysis is a powerful nonparametric technique used to decompose the
original time series into a set of components that can be interpreted as trend, seasonal, and …

In Brazil, the industrial sector is the largest electricity consumer. Therefore, energy planning
becomes important for industrial development. Electricity consumption data in the Brazilian …