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Analytics Platform Based on Big Data for Utilities

Providing a basis to create value through analysis of electricity big data

Customer Profile
The client is a comprehensive utility company that performs development, generation, transmission, transformation and distribution of electric power. It is supplying electric energy in accordance with type of customers for home, industrial, residential, educational and agricultural use. Notably, the company has been contributing to economic development as it strives to ensure stable supply of energy by continuously investing in development/application of researches and systems and improving electric power grid and relevant systems amid technological advancement such as Smart Grid.
Business Challenge
The client decided to conduct a project to establish electricity big data analysis platform, in a bid to create new business of the power industry and deliver differentiated customer service through electricity big data. The major goals of this project are as follows.
  • Establishing long-term, Advanced Metering Infrastructure (AMI) database
  • Offering consulting on energy use such as saving bills by analyzing energy consuming patterns of each customer, and eventually encouraging voluntary management of energy demand
  • Stabilizing supply of electricity through a forecast of energy demand
Mobigen Solution
In this project, Mobigen laid the groundwork for creating new value by the use of electricity big data, while collecting high-and low-voltage AMI data, meteorological information, customer and billing information for big data analysis
  • Establishing big data platform based on Hadoop by using Mobigen's IRIS Enterprise Hadoop solution
  • Installing advanced analytics engine for time-series prediction
  • Conducting time-series analysis based on weather and season models by using electricity big data, and realizing various additional services based on predicting models for hourly electricity usage
Business Value
This project successfully paved the way for creation of new business in the power industry and enhanced customer satisfaction by offering them differentiated analysis and consulting on energy use.
  • Providing an environment that allows voluntary and rational management of demand through an analysis and prediction on customer-based consumption patterns. By doing so, the client can prevent excessive electricity consumption and reduce electricity charges.
  • Contributing to establishing a stable basis for electricity supply through enhanced precision in electricity demand prediction