![]() ![]() ![]() ![]() Besides, the proposed model incorporates batch normalization. The convolutional neural network (CNN) embedded into the long short-term memory (LSTM) can better learn the features of the data on different quarters, months, weeks, and days. In this work, electricity consumption data is reshaped quarterly into a two-dimensional matrix and used as the sequential input to the ConvLSTM. ![]() This paper proposes a convolutional long short-term memory (ConvLSTM) based energy theft detection (ETD) model to identify electricity theft users. The smart meter along with big data mining technology leads to significant technological innovation in the field of energy theft detection. Twenty-five year bookseller with shipments to over fifty million happy customers.In a conventional power grid, energy theft is difficult to detect due to limited communication and data transition. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. This item may be a former library book with typical markings. May show signs of wear, highlighting, writing, and previous use. Chapman & Hall/CRC Texts in Statistical Science. Contains: Unspecified, Illustrations, black & white. We provide a 100% money back guarantee and are dedicated to providing our customers with the highest standards of service in the bookselling industry. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. We aim to provide a vast range of textbooks, rare and collectible books at a great price. We are a world class secondhand bookstore based in Hertfordshire, United Kingdom and specialize in high quality textbooks across an enormous variety of subjects. Ex-library, so some stamps and wear, but in good overall condition. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ships from UK in 48 hours or less (usually same day). ![]()
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