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Smart Meter Data Analytics: Electricity Consumer Behavior Modeling, Aggregation, and Forecasting

Smart Meter Data Analytics: Electricity Consumer Behavior Modeling, Aggregation, and Forecasting

Paperback

Business GeneralEconomicsTechnology & Engineering

ISBN10: 9811526265
ISBN13: 9789811526268
Publisher: Springer Nature
Published: Feb 25 2021
Pages: 293
Weight: 0.98
Height: 0.66 Width: 6.14 Depth: 9.21
Language: English
Overview for Smart Meter Data Analytics.- Smart Meter Data Compression Based on Load Feature Identification.- A Combined Data-Driven Approach for Electricity Theft Detection.- GAN-based Model for Residential Load Generation.- Ensemble Clustering for Individual Electricity Consumption Patterns Extraction.- Sparse and Redundant Representation-Based Partial Usage Pattern Extraction.- Data-Driven Personalized Price Design in Retail Market Using Smart Meter Data.- Deep Learning-Based Socio-demographic Information Identification.- Cross-domain Feature Selection and Coding for Household Energy Behavior.- Clustering of Electricity Consumption Behavior Dynamics Toward Big Data Applications.- Enhancing Short-term Probabilistic Residential Load Forecasting with Quantile LSTM.- An Ensemble Forecasting Method for the Aggregated Load With Subprofiles.- Prospects of Future Research Issues on Smart Meter Data Analytics.

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