Shaping energy cost management in process industries through clustering and soft sensors
نویسندگان
چکیده
With the ever-increasing growth of energy demand and costs, process monitoring operational costs is great importance for industries. In this light, both financial budget management local optimization supposed to be guaranteed properly. To achieve goal, a support vector machine recursive feature elimination (SVM-RFE) method together with clustering algorithm was developed extract features while serving as measurements each input variable sequential prediction model construction. Then, four variants autoregressive moving average (ARMA), i.e., ARMA exogenous (ARMAX) based on least squares (RLS), ARMAX extended (RELS), nonlinear auto-regressive neural network (NARNN) (NARXNN), were applied, respectively, predict incurred in daily production The methods validated Benchmark Simulation Model No.2-P (BSM2-P) practical data set about steel industry consumption from an open access database (University California, Irvine (UCI)), respectively. model, NARXNN, better performance terms mean square error (MSE) correlation coefficient (R), when used multi-step aforementioned datasets strong coupled characteristics.
منابع مشابه
Process Integration in Energy and Carbon Intensive Industries through Exploitation of Optimization Techniques and Decision Support
Process industries show an ever-increasing interest in reducing their environmental impact and energy consumption as well as maintaining an acceptable profit. This is particularly true for industries such as the steel one, which is among the highest energy consumers worldwide. Process modelling and optimization are techniques by which this problem can be effectively addressed, particularly if t...
متن کاملRisk Management in Energy Industries of India
Considering the increased complexity of energy projects as companies are entering a new technological era marking the end of "easy oil", there is a growing concern about the real preparedness of companies to deal with the new risks they are facing. The potential severity of those risks due to the important damages caused to the environment and their possible impact on populations of India. Furt...
متن کاملEnergy management practices in Swedish energy-intensive industries,
Previous studies point out a large (untapped) potential for energy efficiency in industry through the adoption of energy management practices. The aim of this paper is to describe and analyze energy management practices in two different Swedish energyintensive industries: the pulp and paper industry and the foundry industry. The results show that one third of the studied mills and about two fif...
متن کاملEnergy Resources Consumption Performance in Iranian Manufacturing Industries by Using Cost/Revenue Efficiency Model
Industries are one of the main sources of pollution in the world. Besides, the levels of energy resources consumption including water, electricity, and fossil fuel are very different among industries. On the other hand, Iranian government pays a large amount of energy subsidy to manufacturing units. Because of it, the government wants to know which of manufacturing industries are efficient, pro...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Frontiers in Energy Research
سال: 2023
ISSN: ['2296-598X']
DOI: https://doi.org/10.3389/fenrg.2022.1073271