Introduction In the last few years, there has been considerable progress in time series forecasting algorithms, which are becoming more and accurate, their applications numerous varied [...]

The problem of early and accurate forecasting electricity consumption is acute for the unified energy system Ukraine. With successful consumption, which based on many aspects, it possible to buy electricity/losses in different market segments much more profitably, saving large amounts money, can then be directed development modernization networks. This has always been an urgent issue, but today...

Load forecasting at appliance-level or house-level is a key to develop efficient Demand Side Management programs. Lots of recent research work have pointed out that load curves at household’s level depend highly on human behaviors and activities. However, the state-of-the-art load modeling approach takes only individual human activities with appliance-level timeof-use data into account. There i...

Tracking information about fertilizers consumption in the world is very important since they are used to produce agriculture commodities. Brazil consumes a large amount of fertilizers due to its large-scale agriculture fields. Most of these fertilizers are currently imported. The analysis of consumption of major fertilizers, such as Nitrogen-Phosphorus-Potassium (NPK), Sulfur, Phosphate Rock, P...

This paper deals a universal prediction system based on AI techniques and classical statistical analysis. It describes principles and methodologies used within the system. Further it discusses internal structure of the system and general conditions for its successful use. Despite of system wide applicability, originally it was conceived as a system for prediction of gas consumption. A practical...

The purpose of this research is to found the impact of built area and occupant number on winter gas consumption in the residential building sector of Iran, Shiraz.Sothe annually and monthly gas consumption data through 19 houses were analyzed to achieve the heating energy consumption and operation month.The average operation months of gas heating consumption were from first of November up to en...

Petroleum (crude oil) is one of the most important resources of energy and its demand and consumption is growing while it is a non-renewable energy resource. Hence forecasting of its demand is necessary to plan appropriate strategies for managing future requirements. In this paper, three types of time series methods including univariate Seasonal ARIMA, Winters forecasting and Transfer Function-...