As grid systems worldwide become increasingly digital and distributed, utilities are challenged to fulfill their core obligation of providing safe, reliable, and cost-effective service while keeping pace with the new demands being put upon their networks. Of unique importance is the wealth of data now relevant to achieving adequate system awareness. This data comes from disbursed neural centers such as substations, line sensors, and even behind-the-meter sources, and must be collected, organized and interpreted to execute a constantly multiplying array of essential tasks.

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