Smart Meter Data Analytics: Electricity Consumer Behavior Modeling, Aggregation, and Forecasting
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Book Overview
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.
Format:Paperback
Language:English
ISBN:9811526265
ISBN13:9789811526268
Release Date:February 2021
Publisher:Springer
Length:293 Pages
Weight:0.98 lbs.
Dimensions:0.7" x 6.1" x 9.2"
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