BluWave~ai

Applications

Remote Community and Industrial Microgrids

Campus Microgrids in a Distribution Utility Smart Grid

BluWave-ai Remote Community and Industrial Microgrids

BluWave-ai’s has developed distributed AI-based software to optimize the operation of smart grids and microgrids and enable high renewable energy use.  Our solutions consist of components at the edge and cloud data center.

BluWave-ai Edge is installed at the aggregation points of IoT sensors, meters, and other sources of data. The physical location can be at edge computing nodes, a private data center or the public cloud.

BluWave-ai Center machine learning runs in either the private or public cloud.  It collects data from Edge nodes to train AI models and also coordinates functions between multiple BluWave-ai Edge locations.

The overall solution includes an ensemble of machine learning and statistical techniques that discover patterns in data and performs predictive analysis and pattern recognition in real-time.

BluWave-ai’s solution is distributed AI-based software to optimize the operation of smart grids and microgrids, enabling high renewable energy use.It consists of components at the edge and cloud data center.

BluWave-ai Edge is installed at the aggregation points of IoT sensors, meters, and other sources of data. The physical location can be at edge computing nodes, a private data center or public cloud.

BluWave-ai Center machine learning runs in either the private or public cloud, collecting data from Edge nodes to train AI models and also coordinate functions between multiple BluWave-ai Edge locations.

The overall solution includes an ensemble of machine learning and statistical techniques that discover patterns in data, performing predictive analysis and pattern recognition in real-time.

Remote industrial sites and remote off-grid communities that are dependent on diesel as their primary source of energy, can use BluWave-ai to improve the use of renewable energy assets to reduce the use of fossil fuels and hence energy costs and pollution. BluWave-ai Edge at the off-grid microgrid site provides AI-assisted optimization and prediction of load, energy output and use of energy storage to better match demand to renewable generation.

BluWave-ai Center continuously trains AI models, learning and adapting to actual conditions, pushing out model updates to BluWave-ai Edge. It may reside at the remote site or reside at a remote office or hosted in the cloud. Microgrid operators with many remote operations may control multiple remote sites with BluWave-ai Center at a central location.

Energy costs at large residential, commercial, and industrial campuses or plants can be reduced by integrating renewable energy such as solar and storage in a microgrid while being connected to the main distribution grid.

BluWave-ai Edge provides AI-assisted optimization further reduce energy cost at the campus considering grid power price, load and generation predictions and forecasted peak demands to reduce demand during peak periods.

BluWave-ai Edge at utility substations aggregates information from substation service area (includes campus microgrids, residential and other customers), providing AI-assisted predictions of demand at the substation level, predictions of upcoming peaks and optimisation recommendations to assist in improving stability and smoothing peaks.

At the utility back office BluWave-ai Center manages customers in the network using predictions from BluWave-ai Edge and pushing requests and alerts for load shaping. BluWave-ai Center continuously trains AI models, learning and adapting to actual conditions, pushing out model updates to BluWave-ai Edge at campus microgrids and substations.

Use Case at the City of Summerside

Read here at CBC about our project in Summerside