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Efficient encoding of customer class load profiles
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由 SF Beretka 著作2013被引用 2 次 — Customer classification and load analysis have the largest impact on them. In this paper a novel approach for load profile generation is presented. The ...
Efficient encoding of customer class load profiles
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由 SF Beretka 著作2013被引用 2 次 — The presented work is based on artificial neural networks: sparse autoencoders and deep belief networks in order to reveal hidden features from data sets.
Efficient encoding of customer class load profiles
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A novel approach for load profile generation is presented, based on artificial neural networks: sparse autoencoders and deep belief networks in order to ...
Efficient encoding of customer class load profiles | Request PDF
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Customer classification and load analysis have the largest impact on them. In this paper a novel approach for load profile generation is presented. The ...
Customer Classification and Load Profiling Based on AMR ...
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This paper presents different possibilities for utilizing AMR data on customer classification and load profiling. The customer classification and load profiling ...
Locality sensitive hashing of customer load profiles
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Efficient encoding of customer class load profiles · S. F. BeretkaE. Varga. Computer Science, Engineering. 2013 Africon. 2013. TLDR. A novel approach for load ...
Recognition and classification of typical load profiles in ...
ScienceDirect.com
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由 MS Piscitelli 著作2019被引用 70 次 — Typically, this task unfolds through four main methodological stages: i) identification of n classes of customers with similar energy consumption profiles; ii) ...
Clustering Techniques in Load Profile Analysis for ...
Advances in Electrical and Computer Engineering
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Advances in Electrical and Computer Engineering
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[26] Efficient encoding of customer class load profiles, Beretka, Sandor F., Varga, Ervin D., 2013 Africon, ISBN 978-1-4673-5943-6, 2013. Digital Object ...
Load profiling and customer segmentation for demand-side ...
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由 A Baril 著作2023被引用 1 次 — It consists of encoding Daily Load Curves (DLC) using a dictionary of Typical Load Profiles (TLP) and grouping consumers according to the.
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Enhanced Load Profiling for Residential Network Customers
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由 B Stephen 著作2014被引用 146 次 — ISODATA (Iterative Self Organizing Data Analysis. Technique) was used in [9] to cluster industrial customers into load profile classes; outliers in training ...