The document discusses how big data in electrical engineering is driving innovation in machines, transmission, energy storage, and business models. It notes that electrical appliances are generating massive amounts of data that can be mined to provide customized services. This represents a new frontier where understanding appliance usage through big data analysis enables personalized services. Key enablers are growing computing power, internet speed and connectivity, and declining costs of components, storage, and bandwidth. Skills in big data platforms, machine learning algorithms, and languages like Python and R will be important for capitalizing on these new opportunities.

1. Bigdata in electrical engineering
Dr. Selvaraaju Murugesan
selvaraaju@gmail.com

2. Context
Technical side Business side

3. Lets start with technical journey
first

4. Where are we now?

5. Machines
DC / AC Smart Machines
Almost reached theoretical threshold !

6. Transmission World
Transmission lines Smart Grid
Transmission of power remains the same !

7. Energy Storage
Lithium-ion battery
Fundamental breakthrough in chemical technology is needed
Bulky battery

8. Technology barrier ?
• Fundamental science
– Physics limits how fast electrons can travel
• Electron will behave like a wave instead of being a
particle (duality principle)
• Can’t accelerate electron beyond theoretical limit
– Chemistry limits how much energy can be stored
in a molecule
• Atom have theoretical energy bounds

9. What’s next ?

10. Understanding how electrical appliances
are being used has become
a new frontier of
innovation

11. Internet evolution
Pre Internet
Age
Internet
Age
Next
Generation
Internet
People People + Things

12. What’s driving this?
1. Computing power
2. Internet speed
3. Smartphone usage
1. Computing cost
2. Bandwidth cost
3. Storage cost
3. Electronics component cost

13. World population 2020
7.6 billion50 billion
>7 connected devices per person

14. Data Deluge
7 devices × 1 byte/sec × 60 min × 24 hours = 100 MB
100MB × 2.6 billion = 260 billion MB per day !

15. Business Model
Sell electrical
appliances alone
Sell services along with
electrical appliance
Old Way New Way

17. Business Case Study
Home Automation

18. Business Case Study : PUMPS

19. Bigdata Architecture
Applications
Management Services
Gateway
Connectivity
Sensing
GSM, WiFi, LTE,
etc.
Sensors and
actuators
Bluetooth, NFC,
etc.
Cloud, Data,
Security, etc.
Apps, Web apps,
etc.

20. Electrical
machines
Big data
platform
Automate
decisions
Process
Sensing
Data streaming
Storage / Compute
Machine learning
AI Algorithms
Customize services

21. Tesla cars
DC drives
Sensors
Big data
Personalized services

22. Personalisation

23. Solar panels
Sell electricity (old style)
Microgrids (new trend)
Big data
Personalized services

25. Take-ways
• Electrical machines / appliances are
generating massive amounts of data
• Providing customized services by mining big
data is a key driver
• Skillset required
– Knowledge on IoT / big data platforms
– Machine learning algorithms
– Languages such as R, Python, etc.

26. Happy to take few questions