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Case Study

Energising the Future

Energising the Future

The energy and utilities sectors are under constant pressure to adapt to the changing needs of customers, governments, and the environment.  Optimising energy production; integrating renewable sources; enhancing grid management; and ensuring regulatory compliance all present significant opportunities for innovation and greater sustainability.

Organisations within the sector must balance growing customer energy demands with the imperative for sustainability. Additionally, organisational scale, legacy software systems, and vast volumes of data from sensors and devices present major challenges on the path towards modernisation.

The Solution

PANORAMIC AI addresses the most pressing data and innovation challenges facing the energy and utilities sector. Operational intelligence and intuitive data visualisation capabilities allow for real-time monitoring and analysis of energy production and consumption, enabling more efficient grid management and predictive maintenance, ensuring optimal performance while minimising downtime and operational costs.

Text analytics, Natural Language Processing, and Large Language Models combine to unlock insights from unstructured data sources such as regulatory documents, customer feedback, and industry reports. This information is crucial for staying ahead of regulatory changes, understanding market trends, and enhancing customer service.

Time-series analysis supports more effective load balancing, enabling providers to proactively react to changing demand, ensuring a stable and efficient energy supply. Anomaly detection supports network prognostics and allows providers to predict potential system vulnerabilities and failures before they occur.

Knowledge graphs offer a dynamic visualisation of the complex relationships between energy sources, grid infrastructure, and consumption patterns. This holistic view aids in identifying opportunities for efficiency improvements, better renewable energy integration, and more effective demand response strategies.

The Impact

Real-time operational intelligence and predictive analytics lead to significant improvements in grid management and energy distribution, reducing waste and enhancing the integration of renewable energy sources.

Load balancing and network prognostics ensure a more resilient and reliable energy system capable of meeting the demands of modern consumption while mitigating the risks associated with system failures and inefficiencies.

Insights gained from text analytics and knowledge graphs support strategic decision-making, ensuring that energy companies can navigate the complexities of regulation and market dynamics effectively. The personalized customer experiences fostered by AI-driven tools not only enhance satisfaction but also encourage more responsible energy consumption patterns.

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Published
by PJ Kirk
22/02/2024

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