Measurement of Electricity Distribution Service in India by Soft Computing Technique (ANN)

Measurement of Electricity Distribution Service in India by Soft Computing Technique (ANN)

Suchismita Satapathy (KIIT University, India)
DOI: 10.4018/978-1-4666-6631-3.ch014
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Abstract

Indian electric power division networks have evolved under certain assumptions. Industry architectures that bear multidirectional information exchange between the regulatory rules and the technology developers are likely to move toward to achieve optimal performance. Currently, very little attention is given to the potential for quality of service discrimination and improvements and/or cost reduction of electricity sector. Effective customer satisfaction investigation is a very important prerequisite for power supply enterprise to win in the market competition. It has for some time been realized that the performance of a service industry such as the electricity providers of a local authority is likewise evaluated by its consumers on the quality of its service delivered to the consumer. Therefore, in this chapter, efforts are taken to use an Artificial Neural Network (ANN) to evaluate service quality in an electricity utility industry.
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Background

Service industries have become very competitive and customers are more concerned about quality today. Customers nowadays are very choosy for spending money. Quality product or service is their first and foremost preference. For a service provider, the challenge is to tune up their service with all desirable qualities so that the customers' expectations are met. Basic utilities offer another challenge to researchers because their inherent characteristics distinguish them from other regular services. Improving service quality is a top priority for firms that aim to differentiate their services in today’s highly competitive business environment. (Wyk, Louw, Inc, 1992) have briefly explored the advent of quality management systems, the rapid growth in popularity and the benefits of service industries such as electricity utilities. (Lamedica et al.,2001) have explained regarding the problem of the Power Quality (PQ) cost of industrial customers is particularly important at present in the new scenery of competitive electricity markets.(Frazier, 1999,pp.302-307) has described about the purpose of a power system is to provide economical and reliable electric service to the end-user. (Hamoud & El-Nahas, 2003) have described a probabilistic method for evaluating the level of supply reliability to a customer entering into a performance-based contract with a transmission provider. (Carter W.W., 1989,pp.11/1-11/4) has discussed about the most common power problems plaguing industries in this era. (Chan C. K. S.,1993,pp.505-508) has described in his paper about increasing demand of good services from customers of Utility industries. (Mamlook, Badran, Abdulhadi, 2009) have described a fuzzy inference model for short-term load forecasting in power system operation. (Rekettye & Pinter, 2010) have established relationship between satisfaction and price acceptance in the context of the Hungarian electricity utility sector. Even though on service quality of Electricity utility industries few researches have occurred but still it is an important matter for research. As by improving service quality the development of Utility industry will be possible. (Delgado Saraiva, Almeida, 2007) has described all of the steps of the work done and present the customer Satisfaction Index scores measured before the study was conducted in 2001 and at the end of 2006 after application of Quality function deployment.

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