Provide guidance for the collection, sampling, cleansing, quality improvement, processing, and utilization of data in the smart grid. Guide strategy on use of data in artificial intelligence algorithms, while providing techniques to efficiently obtain high quality data that is informative, representative, and unbiased. Data analytics including statistical modeling, interpretable models, and customer or scenario segmentation.
Specify requirements and guidelines for use of communication networks in smart grid systems in conjunction with AI systems, accounting for their capabilities and limitations. Determine protocols to increase information reliability and resulting smart grid system efficiency. Provide recommendations on how to increase system performance while scaling to increasing numbers of distributed energy resources and the resulting grid uncertainties.
Design of robust test plans to yield informative results in complex systems with constraints. Design comprehensive range of metrics tailored to specific use cases, and evaluate the system tradeoffs.
Develop innovative resource allocation strategies for electricity, communication, and sensor networks in the presence of uncertainty. Devise scheduling strategies that promote energy efficiency, mitigate congestion, and account for various grid constraints.
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