Generating power, whether it comes from wind, air, carbon, water, or nuclear requires an exceptionally high level of efficiency. Your infrastructure needs to run at the highest capacity and reliability to meet your business goals and customer demands.
And we get it. That is why we have focused on bringing the power of Maxwell's AI/Machine Learning to focus on the most important tasks to your operation including:
There is a lot of money tied up in energy plant maintenance and problems are inevitable. Our goal is to enable operators across your company to spend time fixing the problem (or potential problem) instead of having to identify it.
Maxwell correlates weather forecasting (wind, sunlight, insolation) with your physical plant, equipment failure rates, and the environment (vegetation, buildings, etc.) to identify risk and make recommendations. Recommendations include vegetation management schedules, equipment replacement plans, etc.
Batteries, flywheels, compressed air, thermal energy storage, pumped hydroelectric storage are technologies leveraged by energy generation companies around the world to maximize the efficiency of energy generation, transmission, and consumption.
Maxwell learns demand and price patterns to ensure you produce, store, and deliver at the most optimal time for your business.
Maxwell improves operational efficiency
Maxwell’s Deep Learning Platform forecasts existing wind turbine infrastructure performance and applies that learning to:
Maxwell as a PaaS application for yield forecasting
Energy storage equipment stores energy from solar power systems into very efficient storage devices. Maxwell predicts market pricing and helps decide when to store power and when to send it to the grid.
Maxwell forecasts solar production and market pricing. It then recommends when to store and when to transfer power to the grid to maximize revenue potential.
Continuous risk assessment of power plant infrastructure
Vegetation and asset monitoring to minimize fire risk
Identify environmental and vegetation risk on 87,000 miles of electric lines and 2.5 million power poles. Deploy sensors across the infrastructure to identify existing and forecasted risk.
Maxwell’s neural-network identifies existing and future risk of fire: