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Energy Data Analytics for Smart Meter Data

The principal advantage of smart electricity meters is their ability to transfer digitized electricity consumption data to remote processing systems. The data collected by these devices make the realization of many novel use cases possible, providing benefits to electricity providers and customers a...

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Bibliographic Details
Main Author: Reinhardt, Andreas
Other Authors: Pereira, Lucas
Format: eBook
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
Machine Learning
Smart Grids
Data-driven Approaches
Random Forest
Load Scheduling
Signature
Pulse Generator
Synthetic Minority Oversampling Technique
K-means Cluster
V-i Trajectory
Distance Similarity Matrix
Synthetic Data
N/a
Ambient Influences
Nilm
Smart Metering
Convolutional Neural Network
Energy Consumption
Deep Learning
Deep Neural Network
Ethics
Review
Deep Neural Networks
Gaussian Mixture Models
Data Annotation
Semi-automatic Labeling
Simulation
Nontechnical Losses
Non-intrusive Load Monitoring (nilm)
Technology: General Issues / Bicssc
Gdpr
Fryze Power Theory
Shapley Value
Electricity Theft Detection
Electric Vehicle
Mathematical Modeling
Transients
Attention Mechanism
Appliance Recognition
Non-intrusive Load Monitoring
Time-series Classification
Real-time
Power Signature
Nilm Datasets
Electrical Energy
Smart Meter
Text Convolutional Neural Networks (textcnn)
Energy Disaggregation
Smart Meter Data
Satisfaction
Solar Photovoltaics
Smart Grid
Energy Data Analytics
Multi-label Learning
Smart Power Grids
Device Classification Accuracy
Load Disaggregation
Exponential Distribution
Poisson Distribution
Activation Current
Smart Meters
User-centric Applications Of Energy Data
Data Privacy
Appliance Load Signatures
Power Consumption Data
Smart Energy System
Energy Data Processing
Transient Load Signature
Electric Load Simulation
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary:The principal advantage of smart electricity meters is their ability to transfer digitized electricity consumption data to remote processing systems. The data collected by these devices make the realization of many novel use cases possible, providing benefits to electricity providers and customers alike. This book includes 14 research articles that explore and exploit the information content of smart meter data, and provides insights into the realization of new digital solutions and services that support the transition towards a sustainable energy system. This volume has been edited by Andreas Reinhardt, head of the Energy Informatics research group at Technische Universität Clausthal, Germany, and Lucas Pereira, research fellow at Técnico Lisboa, Portugal.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (346 p.)
ISBN:books978-3-0365-2017-9
9783036520179
9783036520162

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