Research Areas
Energy Systems
Overview
Integrated approach to energy systems is crucial for enabling various energy sources, efficient energy usage, electricity pricing and data-driven assest management and planning. The current challenge is meeting the growing demand of electricity with smart grid operations.
At Signal Science Lab, we are developing advanced data structures for comprehensive and integrated analytics of smart grid, as well as mobile and cloud computing algorithms for smart grid and reliable pricing. Our expertise lie in processing large data sets in real-time, while maintaining the data privacy. We combine AI models with mathematical approaches to yield deterministic results.
From load forcasting to business inteligence dashboard, the outcomes of our research allows utilities for improve their operations and have access to early warning systems, as well as improved supply chains and customers paying lower prices.
Products
Predict-a-Bill Software
- Subscription-based billing system that converts variable energy costs into fixed monthly pricing.
- Reduces billing related service calls volume.
- Reduces customer switching cost when a resident moves out and moves in.
- Preempt defaulters in billing months in advance.
Load4Cast Software
- Substation load forecasting for asset maintenance and planning.
- Real-time monitoring and access-analytics of substation.
Grid IQ Software
- Grid intelligence for cross functional data infrastructure for accessing key performance index (KPI).
- Mapping of consumer-level AMI data to substation and feeder level analytics.