Forecasting electricity consumption requires the projection of past consumption patterns into the future using a mathematical model. The simplest model for doing this is the univariate model, which has no inputs, and therefore requires no knowledge of future trends in variables affecting consumption. It is well known that input driven (causal) models can have significantly better performance th...

s teel industries play a key role in the national economy and welfare of the society in many steel manufacturer countries. it is found that manufacturing and consuming of steel products would be a key indicator to measure and evaluate economic and industrial performance of a country. nowadays, countries with the large natural oil and gas resources (e.g. iran) attempt to select an alternative ec...

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 [...]

Gh. H. Popescu, E. Nicolăescu, Dimitrie Cantemir Christian University, Bucharest; E. Nica, Bucharest University of Economic Studies; G. Lăzăroiu, Spiru Haret University, Bucharest, Romania The theory that we shall seek to elaborate here puts considerable emphasis on technological features of China’s steel production, its emergence as the world’s most significant steel producer and main manufact...

Under the circumstances of low-carbon economy, the theoretical applications of the green supply chain management of steel and iron manufacture are to reform and innovate the present manufacturing process, enhance the controlling and reclaiming, and recycling using of the waste steel and iron, steel slag, and dust emissions, establish the green supply chain structure oriented to the cycle of “re...

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...

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-...