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• W4200000854 abstract "Many regions of the world benefit from heating, ventilating, and air-conditioning (HVAC) systems to provide productive, comfortable, and healthy indoor environments, which are enabled by automatic building controls. Due to climate change, population growth, and industrialization, HVAC use is globally on the rise. Unfortunately, these systems often operate in a continuous fashion without regard to actual human presence, leading to unnecessary energy consumption. As a result, the heating, ventilation, and cooling of unoccupied building spaces makes a substantial contribution to the harmful environmental impacts associated with carbon-based electric power generation, which is important to remedy. For our modern electric power system, transitioning to low-carbon renewable energy is facilitated by integration with distributed energy resources. Automatic engagement between the grid and consumers will be necessary to enable a clean yet stable electric grid, when integrating these variable and uncertain renewable energy sources. We present the WHISPER (Wireless Home Identification and Sensing Platform for Energy Reduction) system to address the energy and power demand triggered by human presence in homes. The presented system includes a maintenance-free and privacy-preserving human occupancy detection system wherein a local wireless network of battery-free environmental, acoustic energy, and image sensors are deployed to monitor homes, record empirical data for a range of monitored modalities, and transmit it to a base station. Several machine learning algorithms are implemented at the base station to infer human presence based on the received data, harnessing a hierarchical sensor fusion algorithm. Results from the prototype system demonstrate an accuracy in human presence detection in excess of 95%; ongoing commercialization efforts suggest approximately 99% accuracy. Using machine learning, WHISPER enables various applications based on its binary occupancy prediction, allowing situation-specific controls targeted at both personalized smart home and electric grid modernization opportunities." @default.
• W4200000854 created "2021-12-31" @default.
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• W4200000854 date "2021-12-06" @default.
• W4200000854 modified "2023-10-01" @default.
• W4200000854 title "WHISPER: Wireless Home Identification and Sensing Platform for Energy Reduction" @default.
• W4200000854 cites W1171040330 @default.
• W4200000854 cites W1932263918 @default.
• W4200000854 cites W1984515777 @default.
• W4200000854 cites W1984753297 @default.
• W4200000854 cites W1986011019 @default.
• W4200000854 cites W1996261359 @default.
• W4200000854 cites W2023346859 @default.
• W4200000854 cites W2041077647 @default.
• W4200000854 cites W2042804721 @default.
• W4200000854 cites W2044172193 @default.
• W4200000854 cites W2051670405 @default.
• W4200000854 cites W2065012543 @default.
• W4200000854 cites W2090674369 @default.
• W4200000854 cites W2099461393 @default.
• W4200000854 cites W2109768653 @default.
• W4200000854 cites W2115601484 @default.
• W4200000854 cites W2133270667 @default.
• W4200000854 cites W2147242149 @default.
• W4200000854 cites W2147294149 @default.
• W4200000854 cites W2151100033 @default.
• W4200000854 cites W2161708246 @default.
• W4200000854 cites W2161810987 @default.
• W4200000854 cites W2167990963 @default.
• W4200000854 cites W2169508077 @default.
• W4200000854 cites W2202433167 @default.
• W4200000854 cites W2239494658 @default.
• W4200000854 cites W2299889174 @default.
• W4200000854 cites W2395241182 @default.
• W4200000854 cites W2508970689 @default.
• W4200000854 cites W2548369006 @default.
• W4200000854 cites W2571641669 @default.
• W4200000854 cites W2615463707 @default.
• W4200000854 cites W2734456796 @default.
• W4200000854 cites W2749512368 @default.
• W4200000854 cites W2768106074 @default.
• W4200000854 cites W2792797432 @default.
• W4200000854 cites W2796394553 @default.
• W4200000854 cites W2821939715 @default.
• W4200000854 cites W2901332628 @default.
• W4200000854 cites W2902096998 @default.
• W4200000854 cites W2904195467 @default.
• W4200000854 cites W2906121753 @default.
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• W4200000854 cites W2938765630 @default.
• W4200000854 cites W2945745652 @default.
• W4200000854 cites W2946188527 @default.
• W4200000854 cites W2951505812 @default.
• W4200000854 cites W2953911014 @default.
• W4200000854 cites W2960713427 @default.
• W4200000854 cites W2972449215 @default.
• W4200000854 cites W2974545260 @default.
• W4200000854 cites W2981768921 @default.
• W4200000854 cites W2985258680 @default.
• W4200000854 cites W2985752732 @default.
• W4200000854 cites W2987337343 @default.
• W4200000854 cites W2997609246 @default.
• W4200000854 cites W2998677958 @default.
• W4200000854 cites W3011126096 @default.
• W4200000854 cites W3034484558 @default.
• W4200000854 cites W3035040013 @default.
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• W4200000854 cites W3096149785 @default.
• W4200000854 cites W3097838874 @default.
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• W4200000854 cites W3169044891 @default.
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• W4200000854 doi "https://doi.org/10.3390/jsan10040071" @default.
• W4200000854 hasPublicationYear "2021" @default.
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