Mining Smart Meter Data: Opportunities and Challenges

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Author(s): Ayushi Tandon (Indian Institute of Management Ahmedabad, India)
Copyright: 2018
Pages: 19
Source title: Smart Grid Analytics for Sustainability and Urbanization
Source Author(s)/Editor(s): Zbigniew H. Gontar (SGH Warsaw School of Economics, Poland)
DOI: 10.4018/978-1-5225-3996-4.ch007

Keywords: Environment & Agriculture / Information Science Reference / Sustainable Development / Systems and Software Engineering

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Abstract

Metering side of electricity distribution system has been one of the prime focus of industry and academia both. The most recent advancement in this field is installation of smart meters. The installation of smart meters enables collection of massive amounts of data regarding electricity generation and consumption. The analysis of this data could help generate actionable insights for the supply side and provide the consumers demand management-related inputs. The problem addressed in this chapter is to identify suitable data mining algorithm for applications like: estimating the demand and supply of electricity, user and use profiling of commercial, and industrial customers, and variables suitable for these purposes. This chapter, on the basis of rigorous literature review, presents a taxonomy of smart meter data mining. It includes the summary of application of smart meter data analytics, characteristics of dataset used, and smart meter business globally. This chapter could help researchers identify potential research opportunities, and practitioners can use it for planning and designing a smart electricity system.

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