Solar energy is one of the main renewable energy sources capable of contributing to global
energy demand. However, the solar resource is intermittent, making its integration into the …

Prognostic and health management (PHM) effectively reduces the economic loss of sensor-
equipped machine downtime caused by under-maintenance and the waste of resources …

Penetration of smart grid prominently increases the complexity and uncertainty in scheduling
and operation of power systems. Probability density forecasting methods can effectively …

Traders and investors are interested in accurately predicting cryptocurrency prices to
increase returns and minimize risk. However, due to their uncertainty, volatility, and …

The newsvendor problem is one of the most basic and widely applied inventory models. If
the probability distribution of the demand is known, the problem can be solved analytically …

The motivation of this paper is to introduce a hybrid Rolling Genetic Algorithm-Support
Vector Regression (RG-SVR) model for optimal parameter selection and feature subset …

Both customers and manufacturers benefit from warranties that effectively guarantee
products' performance with reasonable price and cost. Reliability-oriented degradation …

Long-term time series forecasting is a challenging problem both in theory and in practice.
Although the idea of information granulation has been shown to be an essential concept and …

Penetration of renewable resources into power systems, such as wind and solar power, has
significantly grown the complexity and level of uncertainty in both power generation and …

Copulas offer a useful tool in modelling the dependence among random variables. In the
literature, most of the existing copulas are symmetric while data collected from the real world …