INTELLIGENT ENERGY MANAGEMENT SYSTEM FOR DISTRIBUTED ENERGY RESOURCES AND ENERGY STORAGE SYSTEMS USING MACHINE LEARNING
There is described a method of reserving a capacity of one or more energy storage devices. The method includes forecasting, based on past electricity demand of a site, future electricity demand of the site over a future time period. The method further includes determining a forecasting error between...
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Main Authors | , |
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Format | Patent |
Language | English French |
Published |
26.10.2020
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Online Access | Get full text |
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Summary: | There is described a method of reserving a capacity of one or more energy storage devices. The method includes forecasting, based on past electricity demand of a site, future electricity demand of the site over a future time period. The method further includes determining a forecasting error between the forecasted future electricity demand and an actual electricity demand of the site over the future time period. The method further includes adjusting, based on the forecasting error, a target state of charge (SOC) of one or more energy storage devices. The method further includes reserving, based on the adjusted target SOC, a capacity of the one or more energy storage devices. |
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Bibliography: | Application Number: CA20193095832 |