A kernel density estimation (KDE) model for the probability distribution of wind speed
(PDWS) is proposed in this paper for application to wind energy assessment (WEA) in …

Mineral resource estimation involves the determination of the grade and tonnage of a
mineral deposit based on its geological characteristics using various estimation methods …

This paper presents the process required to implement a data driven Predictive
Maintenance (PdM) not only in the machine decision making, but also in data acquisition …

To schedule wind power efficiently and to mitigate the adverse effects caused by wind's
intermittency and variability, an advanced wind power prediction model is proposed in this …

Despite there has been an increasing energy price due to factors such as supply, demand,
government regulation, among others, users do not like to spend their time to analyze their …

The variation of the ionospheric parameters has a crucial role in space weather,
communication, and navigation applications. In this research, we analyze the prediction …

In this paper, a novel short-term load forecasting method amalgamated with quantile
regression random forest is proposed. Comprised with point forecasting, it is capable of …

Natural gas has been proposed as a solution to increase the security of energy supply and
reduce environmental pollution around the world. Being able to forecast natural gas price …

With the rapid increase in the penetration of wind power in recent years, wind power ramp
events (WPREs) have become the main factors affecting the safety and stability of electric …

Currently, the world is actively responding to climate change problems. There is significant
research interest in renewable energy generation, with focused attention on solar …