Company
The “AI for Predictive Energy Management” portfolio holds 23 patent assets across six families in Canada, the United States and selected European countries.
Technologies in energy transition
Green Power Labs Inc., established in 2003, is a Nova Scotia based predictive energy management consultant and clean technology developer with extensive experience in weather-to-energy analytics and supervisory predictive controls.
23
Patent assets
6
Patent families
Technologies
Operational forecasting
Optimizing HVAC operations in buildings
Optimization of solar and storage
Integrated real-time optimization, control and energy information management
Persistent low energy use minimizes demand on grid resources and infrastructure
Two-way communication with flexible demand technologies, the grid and occupants
Flexible loads and distributed generation / storage used to reduce, shift, or modulate energy use
Analytics supported by sensors and controls co-optimize efficiency, flexibility and occupant preferences
Patent portfolio
The “AI for Predictive Energy Management” patent portfolio developed and owned by Green Power Labs Inc. contains 23 patent assets within 6 patent families presenting predictive analytics and predictive controls for smart energy assets such as smart buildings and smart grids.
The patented technologies include Artificial Intelligence (AI) solutions for predictive analytics services providing critical weather and energy data for energy assets in real time, and predictive controls, using this data to optimize energy asset performance.
| Patent family | Canada | United States | Selected European countries |
|---|---|---|---|
| 01Predictive building control system and method for optimizing energy use and thermal comfort for a building or network of buildings | |||
| 02Utility grid, intermittent energy management system | |||
| 03Forecasting net load in a distributed utility grid | — | ||
| 04Method and system for solar power forecasting | — | ||
| 05Method and system for generating a building energy model for a client building | — | — | |
| 06Method and system for establishing in real-time an energy clearing price for microgrids having distributed energy resources | CA 3,036,431pending | — | — |
Marked “pending” denotes a filed application still in prosecution; every other asset listed is granted.
Key patent families
One key patent family describes using artificial intelligence to predictively model weather and demand response to control HVAC systems. The patent claims provide intelligent optimization of building systems to minimize energy consumption, maximize cost savings and increase demand response of buildings as flexible loads while maintaining and upgrading thermal comfort in buildings. The patent claims are implemented by a majority of large providers of commercial building management systems, as well as companies using machine learning to manage energy use in office buildings, datacenters and warehouses.
A second key patent family describes a technique for using current and forecast weather data to maintain operating conditions such as voltage and frequency in power grids while maximizing renewable power generation. The predictions are used to apply controls smoothing power inflow into the grid. The patent claims are implemented by numerous companies offering software systems used to manage variable renewable energy resources.
