With the smart home development and a high penetration of smart meters in households, energy suppliers have the opportunity to dramatically enhance the accuracy of the demand predictions at a granular level. They also gain an incredible tool to provide personalized services and advices to their customer.
Our fast data framework is designed to collect and process in real-time massive amounts of data from millions of sensors and equipment at all levels of the network. With various benefits:
- Detect any local discrepancy between prediction and local demand. Trigger the relevant correction on the fly.
- Set thresholds to trigger interactions with customers and propose personalized offers based on identified usage patterns
- Detect any network abnormal patterns prior to failure and timely notify preventive maintenance teams.