PUMPNET: a deep learning approach to pump operation detection | Energy Informatics | Full Text Skip to main content Advertisement Search Get published Explore Journals Books About My account Search all SpringerOpen articles Search Energy Informatics About Articles Submission Guidelines Fig. 3 | Energy Informatics Fig. 3 From: PUMPNET: a deep learning approach to pump operation detection Convolution block structure, with batch normalization and activation function ReLU: (a) consecutive convolutional layers; (b) a residual block; (c) a dense block; (d) a residual-dense block Back to article page Support and Contact Jobs Language editing for authors Scientific editing for authors Leave feedback Terms and conditions Privacy statement Accessibility Cookies Follow SpringerOpen SpringerOpen Twitter page SpringerOpen Facebook page By using this website, you agree to our Terms and Conditions, California Privacy Statement, Privacy statement and Cookies policy. Manage cookies/Do not sell my data we use in the preference centre. © 2022 BioMed Central Ltd unless otherwise stated. Part of Springer Nature.