منابع مشابه
EMMNet: Sensor Networking for Electricity Meter Monitoring
Smart sensors are emerging as a promising technology for a large number of application domains. This paper presents a collection of requirements and guidelines that serve as a basis for a general smart sensor architecture to monitor electricity meters. It also presents an electricity meter monitoring network, named EMMNet, comprised of data collectors, data concentrators, hand-held devices, a c...
متن کاملAutomated analysis of electricity meter images
A series of photographs is taken from domestic electricity meters every 10 minutes over 28 hours (i.e. 169 images per series). Lighting is controlled such that the only difference between the images should therefore be the displayed electricity reading. The right most digit displays a tenth of a kWh. We seek to extract the rate of change (Watt) between subsequent images within one series with t...
متن کاملThe Use of Smart Meter Data to Forecast Electricity Demand
Over the past years, smart meters have been widely deployed in many countries. These devices replace conventional electrical meters and are able to provide measurements for time intervals of typically less than one hour and can send these to the utility. This technology provides utilities a large amount of data and the opportunity to use this data to improve the way they run the grid. We want t...
متن کاملHierarchical Probabilistic Forecasting of Electricity Demand with Smart Meter Data
Electricity smart meters record consumption, on a near real-time basis, at the level of individual commercial and residential properties. From this, a hierarchy can be constructed consisting of time series of demand at the smart meter level, and at various levels of aggregation, such as substations, cities and regions. Forecasts are needed at each level to support the efficient and reliable man...
متن کاملComputing Electricity Consumption Profiles from Household Smart Meter Data
In this paper, we investigate a critical problem in smart meter data mining: computing electricity consumption profiles. We present a simple, interpretable and practical profiling framework for residential consumers, which accounts for variations in electricity consumption at different times of day and at different external temperatures. Our approach is to isolate the effect of external tempera...
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ژورنال
عنوان ژورنال: Journal of Advanced Health Care
سال: 2020
ISSN: 2612-1344
DOI: 10.36017/jahc2002-005