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About Data Analytics in Smart Grid
This document discusses the use of data analytics in smart grids. Smart grids generate huge volumes of data from various sources like sensors, smart meters, and devices. Traditional data analysis methods are insufficient to handle the large and frequent data produced. Big data analytics (BDA) uses techniques like predictive analytics, data mining, machine learning, and artificial intelligence to analyze the data and extract valuable insights. BDA can help identify patterns, detect anomalies, predict failures, and optimize grid operations. The large-scale deployment of smart meters and devices is increasing data generation exponentially. BDA provides solutions to manage this complex data in smart grids and improve grid management as complexity increases.
Detailed Information
| Author: | ['UPES IFMPM'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 40 |
| Language: | English |
| Format: | |
| Price: | FREE |
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