Forecasting biofuel production using adaptive integrated optimization network model

Integrated forecasting model with adaptive parameters optimization using a harmony search algorithm for carbon dioxide emissions

With the significant increase of greenhouse gases and environmental deterioration, it is essential to understand trends of CO2 emissions form fossil fuel so as to establish effective energy policies and environmental strategy decision. In this study, a novel integrated forecasting model with adaptive parameters optimization by using Harmony Search (HS) algorithm for carbon dioxide emissions is ...

An Optimization Model for Biofuel Supply Chain

Biofuels have attracted much attention as a sutuible substitute for fossil fuels in last decade. Designing an efficient supply chain is an essential requirement for commercialization of biofuel production. This paper presents a mixed integer linear programming (MILP) model to design biofuel supply chains in which the biofuel demand is under ARMA time series models. It is studied how ARMA time s...

Sales Budget Forecasting and Revision by Adaptive Network Fuzzy Base Inference System and Optimization Methods

The sales proceeds are the most important factors for keeping alive profitable companies. So sales and budget sales are considered as important parameters influencing all other decision variables in an organization. Therefore, poor forecasting can lead to great loses in organization caused by inaccurate and non-comprehensive production and human resource planning. In this research a coherent so...

Simulation and Optimization of Styrene Monomer Production Using Neural Network

Adaptive Time-Variant Model Optimization for Fuzzy-Time-Series Forecasting

Fuzzy time series forecasting model is one of the tools that can be used to identify factors in order to solve the complex process and uncertainty, nowadays widely used in forecasting problems, but having appropriate universe of discourse and interval length are two subjects that exist in the Fuzzy time series. Recently Adaptive Time-Variant Model for fuzzy time series (ATVF) has been proposed ...