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The energy industry is undergoing rapid transformation in recent past
owing to enhanced role of renewables, and enhanced data driven models
making the value chain smarter. In context of the primary constituents of
this sector comprising of coal, power, renewables, solar energy, oil and
gas, there is a huge role AI can play.
We illustrate some key use cases below:
1. Smart Grid
The biggest disruption in power in recent
times is in smart grid which is quite flexible in
comparison to traditional grid. AI can be a
huge enabler in form of providing optimal
configurations etc to create a really smart and
efficient grid.
2. Distribution Losses
By thorough analysis of data related to losses AI
can help prevent transmission and distribution
losses.
3. Fine Tune Supply
In case of smart grid there is tons of consumer data
available in form of consumption patterns etc which
can help fine tune supply from smart grid.
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4. Conserve Consumption
Data from the smart grid ecosystem in terms of
precise data of load patterns etc can help in
dynamic configuration of the grid like lesser
load during afternoon times can help conserve
consumption via switching off during those
lean times.
5. Consumption Production
Via micro grids today houses can become net
suppliers to the grid and make money. Via proper
analytics of consumption production tradeoff
homes can make money.
6. Controlling & Optimization
Via powerful visualization tools and analytics tools
power grid configurations can be controlled and
optimized efficiently.
7. Preventive Maintenance
Overall across the energy sector there is a
need to imbibe the notion of preventive
maintenance. Machinery like turbines,
windmills etc are very often subject to
repairs and maintenance. By an AI
enabled preventive maintenance platform
all these equipment can resort to a
preventive indication of faults and
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thereby avoiding reactive maintenance. This is a huge cost savings for the
energy industry. They could even prevent major disasters from happening
by flagging them early.
8. Image Classification
Using face authentication and AI processes like that In the context of oil gas
and coal industry there is a huge role AI can play
in analysis of mine earth or siesmic data
highlighting potential areas for digging. This is a
huge cost saver.
9. Optimal Placements
In case of solar cells etc optimal placements can be obtained
by use of AI algorithms.
10. Optimal Supply Chain
By use of sensors combined with AI an optimal supply
chain can be designed for transportation of coal oil gas
etc..
11. Predicting Movements
Use of AI can be done to better predict potential
movements in stock indices based on
commodities.
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12. Autonomous Transportation
Via use of autonomous trucks several mining
companies are optimizing transportation costs
from remote mines.
13. Chatbot for Customer Service
Last but not the least using AI in customer
service for example a power company using
a ChatBot to resolve customer queries.