Frequency Selective Auto-Encoder for Smart Meter Data Compression

Deep Learning Assisted Buildings Energy Consumption Profiling Using Smart Meter Data

(2020) Amin Ullah et al.   SENSORS

Adaptive Multivariate Data Compression in Smart Metering Internet of Things

(2020) Mayukh Roy Chowdhury et al.   IEEE Transactions on Industrial Informatics

Electric Load Data Compression and Classification Based on Deep Stacked Auto-Encoders

(2019) Xiaoyao Huang et al.   Energies

Demand response algorithms for smart-grid ready residential buildings using machine learning models

(2019) Fabiano Pallonetto et al.   APPLIED ENERGY

Model predictive control for thermal energy storage and thermal comfort optimization of building demand response in smart grids

(2019) Rui Tang et al.   APPLIED ENERGY

Game theory based interactive demand side management responding to dynamic pricing in price-based demand response of smart grids

(2019) Rui Tang et al.   APPLIED ENERGY

Dynamic Pricing for Electric Vehicle Charging—A Literature Review

(2019) Steffen Limmer   Energies

CBN-VAE: A Data Compression Model with Efficient Convolutional Structure for Wireless Sensor Networks

(2019) Jianlin Liu et al.   SENSORS

The ENERTALK dataset, 15 Hz electricity consumption data from 22 houses in Korea

(2019) Changho Shin et al.   Scientific Data

NeuralCompression: A machine learning approach to compress high frequency measurements in smart grid

(2019) Laya Das et al.   APPLIED ENERGY

A novel smart meter data compression method via stacked convolutional sparse auto-encoder

(2019) Shouxiang Wang et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

An Efficient Data Characterization and Reduction Scheme for Smart Metering Infrastructure

(2018) Sharda Tripathi et al.   IEEE Transactions on Industrial Informatics

Comparison of lossless compression schemes for high rate electrical grid time series for smart grid monitoring and analysis

(2018) Richard Jumar et al.   COMPUTERS & ELECTRICAL ENGINEERING

A Framework for Efficient Information Aggregation in Smart Grid

(2018) Amit Joshi et al.   IEEE Transactions on Industrial Informatics

Data Compression Based on Stacked RBM-AE Model for Wireless Sensor Networks

(2018) Jianlin Liu et al.   SENSORS

Gaussian Approximation Based Lossless Compression of Smart Meter Readings

(2017) Alsharif Abuadbba et al.   IEEE Transactions on Smart Grid

Data Compression in Smart Distribution Systems via Singular Value Decomposition

(2017) Julio Cesar Stacchini de Souza et al.   IEEE Transactions on Smart Grid

A Sparse Coding Approach to Household Electricity Demand Forecasting in Smart Grids

(2016) Chun-Nam Yu et al.   IEEE Transactions on Smart Grid

An Efficient Data Compression Model Based on Spatial Clustering and Principal Component Analysis in Wireless Sensor Networks

(2015) Yihang Yin et al.   SENSORS

The Compression of Electric Signal Waveforms for Smart Grids: State of the Art and Future Trends

(2014) Michel P. Tcheou et al.   IEEE Transactions on Smart Grid