Anomaly detection for
energy & utilities
Improve efficiency and productivity using predictive maintenance
Current overview
There is a 100% industrial internet potential impact on energy production and 44% industrial internet potential impact on global energy consumption.
This means energy drives pretty much everything in the industrial world. This puts the energy & utilities under extreme and constant pressure.
Tackling efficiency problems and providing round the clock energy supply is one biggest challenges for the energy & utilities industry. There is additional pressure to get rid of creaks in process flows and find effective ways of using data to design optimized power grids.
"Predictive maintenance can reduce energy and maintenance costs by up to 30%, breakdowns by 45%, and downtime by up to 75%."
SMAR ENERGY
Key challenges & objectives
01
Disruptions in power supply
02
Operational anomalies
03
Assessing plant data
04
Meeting global energy demands
05
Reduced outages
06
Improved power asset life
Brainalyzed Insight for anomaly detection in energy & utilities
PREDICTING FAULTY TRANSMISSION LINES
Energy is a powerful resource. If not handled carefully can turn disastrous. Using Brainalyzed Insight you can predict anomalies, system failures, and prevent disasters by warning operators of potential transformer breakdowns.
OPTIMIZE ENERGY STORE
Storing energy is important since its production is periodic and often chaotic. By using AI you can facilitate efficient energy storage management, improve business value, and reduce power losses.
ENHANCED RESOURCE MANAGEMENT
Using AI-predictive solutions, you can prepare for demand in advance, predict any problems, and save resources as much as possible.