Judge Dyk asks “You’d agree that a novel way of hurricane prediction would be patentable, right?

With hundreds of thousands without power in Northern California and power grid vulnerabilities in question, a patent attorney’s mind naturally turns to the Electric Power Group case. Electric Power Group was discussed at some length in this year’s oral argument in POWER ANALYTICS CORPORATION v. OPERATION TECHNOLOGY INC., No. 2018-1428 (Fed. Cir. Jan. 15, 2019). [Link].

You can listen to that oral argument here:

What I thought was particularly interesting was Judge Dyk chiming in to Judge Chen’s hypothetical question about the patent eligibility of a model for predicting the path of a hurricane. One is always interested to hear of things that Judge Dyk might believe are patentable. You can listen to that questioning here:

I also thought that this was an interesting comment by Judge Chen: “there are big data solutions out there that seem to be very valuable and so therefore you would think, instinctively, ought to be part of the patent system.”

In case you want to look at one of the Electric Power Group claims, it is shown below:

12. A method of detecting events on an interconnected electric power grid in real time over a wide area and automatically analyzing the events on the interconnected electric power grid, the method comprising:

receiving a plurality of data streams, each of the data streams comprising sub-second, time stamped synchronized phasor measurements wherein the measurements in each stream are collected in real time at geographically distinct points over the wide area of the interconnected electric power grid, the wide area comprising at least two elements from among control areas, transmission companies, utilities, regional reliability coordinators, and reliability jurisdictions;

receiving data from other power system data sources, the other power system data sources comprising at least one of transmission maps, power plant locations, EMS/SCADA systems;

receiving data from a plurality of non-grid data sources;

1352*1352 detecting and analyzing events in realtime from the plurality of data streams from the wide area based on at least one of limits, sensitivities and rates of change for one or more measurements from the data streams and dynamic stability metrics derived from analysis of the measurements from the data streams including at least one of frequency instability, voltages, power flows, phase angles, damping, and oscillation modes, derived from the phasor measurements and the other power system data sources in which the metrics are indicative of events, grid stress, and/or grid instability, over the wide area;

displaying the event analysis results and diagnoses of events and associated ones of the metrics from different categories of data and the derived metrics in visuals, tables, charts, or combinations thereof, the data comprising at least one of monitoring data, tracking data, historical data, prediction data, and summary data;

displaying concurrent visualization of measurements from the data streams and the dynamic stability metrics directed to the wide area of the interconnected electric power grid;

accumulating and updating the measurements from the data streams and the dynamic stability metrics, grid data, and non-grid data in real time as to wide area and local area portions of the interconnected electric power grid; and

deriving a composite indicator of reliability that is an indicator of power grid vulnerability and is derived from a combination of one or more real time measurements or computations of measurements from the data streams and the dynamic stability metrics covering the wide area as well as non-power grid data received from the non-grid data source.

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