Improving the reliability of energy simulation outputs is becoming a pressing task to reduce
the performance gap between the design and the operation of buildings. Occupant …

The road transportation sector in Saudi Arabia has been observing a surging growth of
demand trends for the last couple of decades. The main objective of this article is to extract …

Socio‐economic variables including gross domestic product, population, and energy and
electricity production are used in modeling and forecasting national energy demands of the …

In the last years, researchers and energy utilities are showing a rising interest in the study
and definition of actual buildings' energy uses. A key aspect of this investigation is the …

With the advancement of technology, vast time related databases are created from a
plethora of processes. Analyzing such data can be very useful, but due to the large volumes …

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 …

With the advancement of technology, time series data are automatically collected without
human intervention. As the data collection process becomes effortless, the next change …

This paper presents the procedure of building a dynamic predictive model using an artificial
neural network to perform an iterative forecast. An algorithm is proposed and named as …

Ensuring that the energy need predicted by energy modelling corresponds to the actual
energy need, will be strictly important in the close future with the increase in the number of …