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This invention describes a system where multiple energy users and producers, like homes with solar panels and batteries, are interconnected. A central control system uses a neural network to predict each participant's electricity needs and production for the next day. Based on these predictions, it balances the grid by arranging for those with a power shortage to receive electricity from those with a surplus. One specific version of the system includes batteries integrated into large appliances like refrigerators to help manage their power consumption.
Why it matters: Filed before the widespread adoption of advanced deep learning techniques, the neural network component for prediction is now far more powerful and accessible. Additionally, the cost and efficiency of electrical storage devices have significantly improved since 2007, making the system's reliance on batteries more practical and economical.
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