Open Source Optimization for Distributed Generation
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JAMES OLIVER
01
Solutions
Supply
Optimization
Methods for optimizing the economic value of your distributed generation
Perhaps you have a solar photovoltaic array, gas-powered generator, or wind turbine attached to your home or business. Maybe you’ve added batteries to provide an energy buffer to extend the hours your system operates.
How do you know that the system is providing its highest and best service to you? After all, it could be charging batteries, directly feeding load, exporting to the utility grid. What if we can make these decisions in real time using artificial intelligence.
Demand
Response
Methods for flattening demand in a building, campus, neighborhood, or along an electrical feeder
Multiple locally-sited distributed generation assets can be automatically deployed by AI to reshape demand patterns in response to a single control signal.
Distributed Generation Aggregation
Methods for combining the impact and response of distributed generation assets across a facility, geography, or territory
How can we be sure that locally-owned and managed distributed generation assets provide high-quality support to local electrical grides and customers. AI-driven tools can help us manage the automated dispatch of independent distributed generation over many devices and operating modes.
Gain Digital Advantage
Innovative strategies
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Results-Oriented Solutions
Strategic insights
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From Art to Science
Personalized tactics
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We are the decisive factor behind your success
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