Precise forecast of the electrical load plays a highly significant role in the electricity industry
and market. It provides economic operations and effective future plans for the utilities and …

Softwares play an important role in controlling complex systems. Monitoring the proper
functioning of the components of such systems is the principal role of softwares. Often, a …

Demand prediction is playing a progressively important role in electricity management, and
is fundamental to the corresponding decision-making. Because of the high variability of the …

Assessing rare event probabilities still suffers from its computational cost despite some
available methods widely accepted by researchers and engineers. For low to moderately …

Support Vector Machines (SVMs) are kernel-based learning methods, which have been
successfully adopted for regression problems. However, their use in reliability applications …

Accurate tourist demand forecasting systems are essential in tourism planning, particularly
in tourism-based countries. Artificial neural networks are attracting attention to forecast …

Support vector machine (SVM) is a novel pattern classification method that is valuable in
many applications. Kernel parameter setting in the SVM training process, along with the …

Accurate forecasting of inter-urban traffic flow has been one of the most important issues
globally in the research on road traffic congestion. However, the information of inter-urban …

Accurate forecasting of electric load has always been the most important issues in the
electricity industry, particularly for developing countries. Due to the various influences …

Battery prognostics aims to predict the remaining life of a battery and to perform necessary
maintenance service if necessary using the past and current information. A reliable …