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Offline handwritten signature identification using adaptive window positioning techniques
The paper presents to address this challenge, we have proposed the use o...
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Off-Line Handwritten Signature Identification Using Rotated Complex Wavelet Filters
In this paper, a new method for handwritten signature identification bas...
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Privacy Preserving Demand Forecasting to Encourage Consumer Acceptance of Smart Energy Meters
In this proposal paper we highlight the need for privacy preserving ener...
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Neural Signatures for Licence Plate Re-identification
The problem of vehicle licence plate re-identification is generally cons...
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Towards Requirements for a Demand Side Response Energy Management System for Households
Demand response is considered to be one of the key means through which p...
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Appliance identification using a histogram post-processing of 2D local binary patterns for smart grid applications
Identifying domestic appliances in the smart grid leads to a better powe...
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A Novel data Pre-processing method for multi-dimensional and non-uniform data
We are in the era of data analytics and data science which is on full bl...
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Non-Intrusive Signature Extraction for Major Residential Loads
The data collected by smart meters contain a lot of useful information. One potential use of the data is to track the energy consumptions and operating statuses of major home appliances.The results will enable homeowners to make sound decisions on how to save energy and how to participate in demand response programs. This paper presents a new method to breakdown the total power demand measured by a smart meter to those used by individual appliances. A unique feature of the proposed method is that it utilizes diverse signatures associated with the entire operating window of an appliance for identification. As a result, appliances with complicated middle process can be tracked. A novel appliance registration device and scheme is also proposed to automate the creation of appliance signature database and to eliminate the need of massive training before identification. The software and system have been developed and deployed to real houses in order to verify the proposed method.
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