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Global market forces are reshaping the future of Energy & Utility companies. From:
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But then, the real BIG challenge before today’s E&U companies is the DATA and ironically it holds the KEY to adapting to the changing business landscape. E&U companies have wealth of data locked in siloed systems or in unstructured formats —- that can bring in operational efficiency, manage supply-demand balance, lower carbon emissions and asset maintenance. It is expected to get bigger as the sector is undergoing a rapid digital transformation and management becomes concerning as the world’s population is projected at 9.8 billion by 2050. To stay relevant and efficient, it’s critical for companies to unlock the value hidden in this data by harnessing the power of Artificial intelligence (AI) and Advanced Analytics.
Integrate real time data from sensors
Take Informed Decisions
Lower Consumption & Costs
Client Heating Ventilation & Air Conditioning (HVAC) systems are installed in hundreds of premises distributed in a wide area, each system having dozens of blowers, and each blower connected to dozens of sensors. Each sensor senses and reports to a central server the following details: the room temperature, the extent of vent opening, and other relevant readings. The client wanted to store the sensor data and build suitable models to automate the analysis and suggest recommendations for optimizing power consumption.
We built a centralized Big Data repository for the sensor data and used it to automatically predict adjustments (using a rule based system) needed at the sensor blower & property levels, so that energy consumption is globally optimized. Every 15 minutes data use to get into the system and the outcome would trigger the action.
A leading energy company field engineers relied heavily on IT team to plan their priority tasks and field visits – this was a time-consuming process. The firm wanted the same task to be automated and performed by a digital assistant (voice & chatbot) to drive cost efficiency and agility.
Quadratyx SRIA (fully customizable AI powered voice-bot) was deployed to assistant in answer all the queries related to meters, transformers and substations, and can also perform all descriptive analytics on the trained dataset.
Direct Questions
90%
Accuracy
In-direct Questions
80%
Enhanced
User Experience & Usage Reach
To much larger Audiences
90%
Accuracy
Different accents
User-friendly Dashboard
Data centric performance report
Export lossy client list
With single click of button
Reduction in reverification
Over time
Our client, 3rd largest power distributor in South America with market capitalization of $156 Bn, has over 150,000 meters located on the customer’s premises (residential and commercial establishments). Client relied heavily on these meters to frequently report their energy consumption. Based on certain indicators client analyst team manually identified energy losses; However, they do not know how to prioritize their losses.
Quadratyx built custom KLM data mart, where we created customer genomes:
By applying advanced analytics on real-time sensor data, businesses can continuously monitor conditions in a gas turbine. According to internal and external factors combustion process can be controlled and adjust fuel valves accordingly. The result is increased asset life and performance, while driving down overall asset maintenance costs and saving millions of dollars by avoiding equipment failure. Greater efficiency does not only have positive impact on the bottom line but on the environment as-well.
In a highly competitive energy market understanding your customer base – their buying patterns, social media interactions, service feedbacks and power tariffs – help build customer loyalty, improved cross-selling, and acquire new customers; which in turn leads to higher retention rates and reduction is acquisition costs. It also helps streamline campaign management, with a 70% reduction in the time required to design new campaigns and generate a target customer list. All this and more can be achieved using AI and analytics.
Utility companies are striving to bring visibility into the services (billing, services, etc.)Â and customer, alike will have an opportunity to monitor the transaction as well. Using AI based operational management software tracks operational activity and transactions in real-time and helps take immediate actions.
During drought-stricken summer months, notorious leaky water/gas/ pipelines can waste a great deal of clean water moving through the system. Monitor powerlines and pipelines Predict maintenance
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