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

The city of Summerside, PEI is part of a growing trend to rely on more renewable sources of energy for increased sustainability, reliability, and affordability. BluWave-ai, with its grid energy optimization platform collects volumes of data from IoT sensors around Summerside’s grid to predict, optimize, and dispatch control to maximize the use of renewable sources and reduce the city’s overall energy spending.

Read more about our Summerside Success Story!