Smart Meter Data Analytics Benchmark – Open vs Closed

Benchmarking Smart Meter Data Analytics – I got forwarded this interesting paper that compares how quickly smart meter data can be analysed using

  1. a Relational Database
  2. Matlab
  3. An in-memory Column-Oriented database
  4. Two new NoSQL alternatives

Smart electricity grids, which incorporate renewable energysources such as solar and wind, and allow information sharingamong producers and consumers, are beginning to replace conventional power grids worldwide. Smart electricity meters are afundamental component of the smart grid, enabling automated collection of fine-grained (usually every 15 minutes or hourly) consumption data. This enables dynamic electricity pricing strategies,in which consumers are charged higher prices during peak timesto help reduce peak demand. Additionally, smart meter data analytics, which aims to help utilities and consumers understand electricity consumption patterns, has become an active area in researchand industry. According to a recent report, utility data analytics isalready a billion dollar market and is expected to grow to nearly 4billion dollars by year 2020


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