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Article
Publication date: 21 March 2019

Mustafa Jahangoshai Rezaee, Mojtaba Dadkhah and Masoud Falahinia

This study aims to short-therm forecasting of power generation output for this purpose, an adaptive neuro-fuzzy inference system (ANFIS) is designed to forecast the output power…

Abstract

Purpose

This study aims to short-therm forecasting of power generation output for this purpose, an adaptive neuro-fuzzy inference system (ANFIS) is designed to forecast the output power of power plant based on climate factors considering wind speed and wind direction simultaneously.

Design/methodology/approach

Several methods and algorithms have been proposed for systems forecasting in various fields. One of the strongest methods for modeling complex systems is neuro-fuzzy that refers to combinations of artificial neural network and fuzzy logic. When the system becomes more complex, the conventional algorithms may fail for network training. In this paper, an integrated approach, including ANFIS and metaheuristic algorithms, is used for increasing forecast accuracy.

Findings

Power generation in power plants is dependent on various factors, especially climate factors. Operating power plant in Iran is very much influenced because of climate variation, including from tropical to subpolar, and severely varying temperature, humidity and air pressure for each region and each season. On the other hands, when wind speed and wind direction are used simultaneously, the training process does not converge, and the forecasting process is unreliable. The real case study is mentioned to show the ability of the proposed approach to remove the limitations.

Originality/value

First, ANFIS is applied for forecasting based on climate factors, including wind speed and wind direction, that have rarely been used simultaneously in previous studies. Second, the well-known and more widely used metaheuristic algorithms are applied to improve the learning process for forecasting output power and compare the results.

Details

International Journal of Energy Sector Management, vol. 13 no. 4
Type: Research Article
ISSN: 1750-6220

Keywords

Article
Publication date: 26 June 2018

Mojtaba Yousefi, Nasim Khorshidian and Hedayat Hosseini

The purpose of this paper is to present an overview of different aspects of inulin functionality in meat and poultry products.

Abstract

Purpose

The purpose of this paper is to present an overview of different aspects of inulin functionality in meat and poultry products.

Design/methodology/approach

Several studies on the physiochemical, textural and sensorial effects of inulin incorporated in meat and poultry products as fat replacer and texture modifier were reviewed.

Findings

Inulin is a plant-derived carbohydrate composed of fructose units and glucosyl moieties at the end of the chain that exhibits unique nutritional and technological benefits. Among its main healthy characteristics, it has been reported to reduce the risk of colon cancer, arteriosclerosis, osteoporosis, diabetes and obesity, to maintain low levels of triglycerides and cholesterol in serum and stimulate the immune system. As a functional food ingredient, it can be used in various foods as a fat replacer, improves water-holding capacity and emulsion stability, as well as modifying the texture and viscosity of foods. Incorporation of inulin into meat and poultry products can be beneficial in producing low-fat products with desirable texture and sensory attributes.

Originality/value

There are limited reviews regarding the application of inulin in meat and poultry products. In this review, chemical composition and physicochemical properties of inulin, its health effects and various effects of inulin incorporation into meat and poultry products including, physicochemical, textural and sensory characteristics of these products are discussed.

Details

Nutrition & Food Science, vol. 48 no. 5
Type: Research Article
ISSN: 0034-6659

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