Predictive Analytics Keeps The Power On

In a highly competitive industry plagued with ageing assets and higher expectations from customers it is necessary to tap into new technologies to improve operational efficiencies.
 
The ability to predict outages and failures, better optimise field crew and maintenance efforts can be achieved through Predictive AI. Utilising IoT sensors, historical and live data, AI Analytical models can address the majority of problems getting to the root cause. What may have taken weeks or months for a dedicated data science team, can now be achieved in a timely manner providing real-time actionable insights in the palm of your hand. 
 
Predictive AI not only assists with operational risk management and asset management, it can help with load forecasting and process optimisation. Identifying inefficiencies and boosting reliability all through the power of latent data and artificial intelligence.
 
Benefits of Predictive Analytics to the Utilities Industry:

 
If you're looking to optimise your utility assets, get in touch today.

Power plants use a mere 20-30% of their collected data to inform decision making. With companies either lacking the data infrastructure, management or analytics capabilities. McKinsey

VROC PREDICT for Utilities

VROC Predictive Maintenance provides Utilities with powerful time-critical insights, preventing unscheduled outages, reducing safety incidents and helping you prioritise your maintenance resources. 
 

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VROC Optimise for Utilities

VROC Optimise helps your Utility processes and plant operations, optimising heat rate, auxiliary load, chemical and fuel-usage optimisation, dramatically improving your bottom line.
 

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VROC Detects Generator Fault and optimizes energy production 

VROC's AI platform was used to analyse the performance of two identical air supply units to identify the cause of a loss of energy production and excessive energy consumption as well as reliability issues. 

VROC successfully identified the root cause of the issue which lead to a heat retention for our client and fuel savings which have been estimated at $280,000 USD per annum.

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