Suchergebnisse

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.

Introduction to power market data and their characteristics -- Modeling load forecasting uncertainty using deep learning models -- Data-driven load data cleaning and its impacts on forecasting performance -- Generalized cost-oriented load forecasting in economic dispatch -- A monthly electricity consumption forecasting method -- Data-driven pattern extraction for analyzing market bidding behaviors -- Stochastic optimal offering based on probabilistic forecast on aggregated supply curves -- Power market simulation framework based on learning from individual offering strategy -- Deep inverse reinforcement learning for reward function identification in bidding models -- The subspace characteristics and congestion identification of LMP data -- Online transmission topology identification in LMP-based markets -- Day-ahead componential electricity price forecasting -- Quantifying the impact of price forecasting error on market bidding -- Virtual bidding and FTR speculation based on probabilistic LMP forecasting -- Abnormal detection of LMP scenario and data with deep neural networks.