PowerSense is an advanced AI-based platform for managing and optimizing the modern smart grid, providing GMS, EMS, DMS, and DERMS functionality in one complete system.
PowerSense provides increased control system resilience with fast response and globally optimized operations via adaptive algorithms, resulting in an increase in reliability and reduction in variability and total cost of ownership - less expensive to license, integrate, implement, maintain, use, and upgrade.
PowerSense accomplishes this by structuring the grid as a system of interconnected cells and engages fleets of intelligent software agents to distribute control and optimization tasks. We engage prosumers by creating ad-hoc dynamic microgrids that operate via the energy blockchain market
One system to procure, integrate, implement, maintain, use, and upgrade instead of multiple systems requiring complex and expensive integrations and training
Decentralized real-time calculation, optimization, and control instead of updates typically every 15 minutes with centralized systems
Efficiently accommodate changes to topology, load, and generation instead of changes which must be manually edited and forecasts retrained
Sensor-driven AI simplifies and more effectively provides and utilizes data instead of traditional data sources which must be manually edited, updated, managed, and coordinated
AI efficiently estimates system inertia and accurately calculates spinning reserves instead of requiring increased spinning reserves with increased O&M costs
Led by PhD accredited experts with many decades of experience working with electrical utilities, we are a large team of programmers, data scientists, and power engineers with deep knowledge of AI and power systems and decades of experience with various smart grid systems, data, and integrations.
We have active partnerships with cloud and AI application providers such as AWS, Azure, Google, and many others. This provides us with the ability to quickly complete pilots/proof of concept solutions and efficiently scale to system-wide implementation.
