Feature Construction and Calibration for Clustering Daily Load Curves From Smart-Meter Data

IEEE Transactions on Industrial Informatics - United States
doi 10.1109/tii.2016.2528819
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Related search

Multi-Domain Feature Extraction for Improved Clustering of Smart Meter Data

Technology and Economics of Smart Grids and Sustainable Energy
Electronic EngineeringRenewable EnergyEnergyEconomicsthe EnvironmentSustainabilityElectricalEconometrics
2020English

Modeling and Clustering Water Demand Patterns From Real-World Smart Meter Data

2017English

Classified Measurement of Household Load for Smart Meter

2013English

Improving End-Use Load Modeling Using Machine Learning and Smart Meter Data

2020English

Forecasting Demand Flexibility of Aggregated Residential Load Using Smart Meter Data

IEEE Transactions on Power Systems
Electronic EngineeringPower TechnologyElectricalEnergy Engineering
2018English

Wavelet-Based Load Profile Representation for Smart Meter Privacy

2013English

Symbolic Representation of Smart Meter Data

2013English

Modeling and Forecasting Daily Electricity Load Curves: A Hybrid Approach

Journal of the American Statistical Association
UncertaintyStatisticsProbability
2013English

Smart Meter Billing

International Journal of Advance Engineering and Research Development
2017English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy