Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Household smart meters that measure por consumption in real-time at fine granularities are the foundation of a future smart electricity grid. Hover, the widespread deployment of smart meters has serious privacy implications since they inadvertently leak detailed information about household activities. ,  show that even without  a priori  knowledge of household activities or prior training, it is possible to extract complex usage patterns from smart meter data using off-the-shelf statistical methods. Our analysis uses two months of data from three homes, which  instrumented to log aggregate household por consumption every second. With the data from our small-scale deployment,  demonstrate the potential for por consumption patterns to reveal a range of information, such as how many people are in the home, sleeping routines, eating routines, etc.  then sketch out the design of a privacy-enhancing smart meter architecture that allows an electric utility to achieve its net metering goals without compromising the privacy of its customers.
['Andres Molina-Markham', 'Prashant J. Shenoy', 'Kevin Fu', 'Emmanuel Cecchet', 'David E. Irwin']
I am writing a research paper on a idea Private memoirs of a smart meter
[{"from": "human", "value": "I am writing a research paper on a idea Private memoirs of a smart meter"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Household smart meters that measure por consumption in real-time at fine granularities are the foundation of a future smart electricity grid. Hover, the widespread deployment of smart meters has serious privacy implications since they inadvertently leak detailed information about household activities. ,  show that even without  a priori  knowledge of household activities or prior training, it is possible to extract complex usage patterns from smart meter data using off-the-shelf statistical methods. Our analysis uses two months of data from three homes, which  instrumented to log aggregate household por consumption every second. With the data from our small-scale deployment,  demonstrate the potential for por consumption patterns to reveal a range of information, such as how many people are in the home, sleeping routines, eating routines, etc.  then sketch out the design of a privacy-enhancing smart meter architecture that allows an electric utility to achieve its net metering goals without compromising the privacy of its customers."}]