The importance of long-term load forecasting in the power industries cannot be over-
emphasised, as it provides the industries with future power demand that may be useful in …

It is proposed in this paper a novel two-stage structural damage detection approach using
fuzzy neural networks (FNNs) and data fusion techniques. The method is used for structural …

Long-term load forecasting provides vital information about future load and it helps the
power industries to make decision regarding electrical energy generation and delivery. In …

Load forecasting guides the power company to make some decisions on generation,
transmission and distribution of electrical power. This work presents a solution methodology …

In this paper, a new distance measure of three-parameter interval numbers is proposed,
which considers not only the particularity of the center of gravity in a three-parameter interval …

El artículo presenta una revisión de la literatura orientada a las técnicas de análisis
multicriterio como soporte para toma de decisiones empresariales orientadas a los …

Data mining is used for a variety of purposes in both the private and public sectors. The
different algorithms and techniques like Classification, Clustering, Regression, Artificial …

Smart energy management encompasses energy consumption prediction and energy data
analytics. Energy consumption prediction or electric load forecasting leverages …

Accurate prediction of electricity demand can bring extensive benefits to any country as the
forecast values help the relevant authorities to take decisions regarding electricity …

Accurate prediction of electricity demand can bring extensive benefits to any country as the
forecasted values help the relevant authorities to take decisions regarding electricity …