{ "item_title" : "Smart Meter Data Analytics", "item_author" : [" Yi Wang", "Qixin Chen", "Chongqing Kang "], "item_description" : "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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/81/152/626/9811526265_b.jpg", "price_data" : { "retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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