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Transfer Entropy

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ISBN: 9783038429197 9783038429203 Year: Pages: VIII, 326 Language: Englisch
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science
Added to DOAB on : 2018-08-24 17:15:19
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Statistical relationships among the variables of a complex system reveal a lot about its physical behavior. Therefore, identification of the relevant variables and characterization of their interactions are crucial for a better understanding of a complex system. Linear methods, such as correlation, are widely used to identify these relationships. However, information-theoretic quantities, such as mutual information and transfer entropy, have been proven to be superior in the case of nonlinear dependencies. Mutual information quantifies the amount of information obtained about one random variable through the other random variable, and it is symmetric. As an asymmetrical measure, transfer entropy quantifies the amount of directed (time-asymmetric) transfer of information between random processes and, thus, it is related to concepts, such as the Granger causality. This Special Issue includes 16 papers elucidating the state of the art of data-based transfer entropy estimation techniques and applications, in areas such as finance, biomedicine, fluid dynamics and cellular automata. Analytical derivations in special cases, improvements on the estimation methods and comparisons between certain techniques are some of the other contributions of this Special Issue. The diversity of approaches and applications makes this book unique as a single source of invaluable contributions from experts in the field.

Analysis for Power Quality Monitoring

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ISBN: 9783039281107 / 9783039281114 Year: Pages: 210 DOI: 10.3390/books978-3-03928-111-4 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-06-09 16:38:57
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We are immersed in the so-called digital energy network, continuously introducing new technological advances for a better way of life. Numerous emerging words are in the spotlight, namely: Internet of Things (IoT), Big Data, Smart Cities, Smart Grid, Industry 4.0, etc. To achieve this formidable goal, systems should work more efficiently, and this fact inevitably leads to power quality (PQ) assurance. Apart from its economic losses, a bad PQ implies serious risks for machines, and consequently for people. Many researchers are endeavoring to develop new analysis techniques, instruments, measurement methods, and new indices and norms that match and fulfil the requirements regarding the current operation of the electrical network. This book offers a compilation of the some recent advances in this field. The chapters range from computing issues to technological implementations, going through event detection strategies and new indices and measurement methods that contribute significantly to the advancement of PQ analysis. Experiments have been developed within the frames of research units and projects, and deal with real data from industry and public buildings. Human beings have an unavoidable commitment with sustainability, which implies adapting PQ monitoring techniques to our dynamic world, defining a digital and smart concept of quality for electricity.

Keywords

power system measurements --- dynamic phasor estimation --- Kalman filters --- phasor measurement --- power quality --- signal waveform compression --- higher-order statistics (HOS) --- power quality (PQ) --- computational solutions for advanced metering infrastructure (AMI) --- smart grid (SG) applications --- harmonics --- constant amplitude trend --- fourth-order statistics --- detection --- spectral kurtosis --- low-voltage DC networks --- power quality disturbances --- power quality monitoring --- DC power quality indices --- voltage ripple --- reconfigurable computing --- FPGA --- power quality --- spectral kurtosis --- digital signal processing --- embedded system --- power quality disturbance --- convolution neural network --- improved principal component analysis --- wind-grid distribution --- power quality (PQ) --- embedded microcontroller --- low cost monitor --- sensor node --- wireless sensor network --- IoT --- RMS voltage estimation --- low computational cost --- limited resources hardware --- power event detection --- energizing warning --- power quality --- voltage sags --- islanding operation --- induction machines --- modelling --- distribution networks --- power quality --- phasor measurement units --- voltage fluctuations --- flicker --- modulation --- power distribution systems --- smart grids --- dense-mesh topology --- municipal distribution network --- smart grid --- power quality monitor --- long-term --- operation analysis --- power quality (PQ) --- PQ indices and thresholds --- reliability --- sensors and instruments for PQ --- big data --- machine learning --- soft computing --- statistical signal processing --- data scalability --- data compression

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