Smart meter data classification using optimized random forest algorithm

Unsupervised learning of energy signatures to identify the heating system and building type using smart meter data

(2020) Paul Westermann et al.   APPLIED ENERGY

Time–Frequency Feature Combination Based Household Characteristic Identification Approach Using Smart Meter Data

(2020) Siqing Yan et al.   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

The random forest algorithm for statistical learning

(2020) Matthias Schonlau et al.   Stata Journal

New Algorithm of Multi-Strategy Channel Allocation for Edge Computing

(2020) Degan Zhang et al.   AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS

Non-intrusive load disaggregation solutions for very low-rate smart meter data

(2020) Bochao Zhao et al.   APPLIED ENERGY

Effective solar prosumer identification using net smart meter data

(2020) Daniel L. Donaldson et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

A PMU-Based Data-Driven Approach for Classifying Power System Events Considering Cyberattacks

(2020) Rui Ma et al.   IEEE Systems Journal

Convex clustering method for compositional data modeling

(2020) Xiaokang Wang et al.   Soft Computing

Robust convex clustering

(2019) Zhenzhen Quan et al.   SOFT COMPUTING

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

(2019) Laya Das et al.   APPLIED ENERGY

A Distributed PV System Capacity Estimation Approach Based on Support Vector Machine with Customer Net Load Curve Features

(2018) Fei Wang et al.   Energies

SF-OEAP: Starvation-Free Optimal Energy Allocation Policy in a Smart Distributed Multi-Microgrid System

(2018) Nitesh Funde et al.   IEEE Transactions on Industrial Informatics

Sparse Convex Clustering

(2018) Binhuan Wang et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Convex clustering with metric learning

(2018) Xiaopeng Lucia Sui et al.   PATTERN RECOGNITION

Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges

(2018) Yi Wang et al.   IEEE Transactions on Smart Grid

Multi-granular electricity consumer load profiling for smart homes using a scalable big data algorithm

(2018) Sue Bedingfield et al.   Sustainable Cities and Society

Phasor particle swarm optimization: a simple and efficient variant of PSO

(2018) Mojtaba Ghasemi et al.   SOFT COMPUTING

Convex clustering for binary data

(2018) Hosik Choi et al.   Advances in Data Analysis and Classification

Household monthly electricity consumption pattern mining: A fuzzy clustering-based model and a case study

(2017) Kaile Zhou et al.   JOURNAL OF CLEANER PRODUCTION

Classification of new electricity customers based on surveys and smart metering data

(2016) Joaquim L. Viegas et al.   ENERGY

Segmentation of Factories on Electricity Consumption Behaviors Using Load Profile Data

(2016) Imran Khan et al.   IEEE Access

A clustering approach to domestic electricity load profile characterisation using smart metering data

(2015) Fintan McLoughlin et al.   APPLIED ENERGY

Splitting Methods for Convex Clustering

(2015) Eric C. Chi et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Resumable Load Data Compression in Smart Grids

(2015) Andreas Unterweger et al.   IEEE Transactions on Smart Grid

Clustering analysis of residential electricity demand profiles

(2014) Joshua D. Rhodes et al.   APPLIED ENERGY

Detecting serial residential burglaries using clustering

(2014) Anton Borg et al.   EXPERT SYSTEMS WITH APPLICATIONS

A global best artificial bee colony algorithm for global optimization

(2012) Weifeng Gao et al.   JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

Selection of the number of clusters via the bootstrap method

(2011) Yixin Fang et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

A search space reduction methodology for data mining in large databases

(2008) Angel Kuri-Morales et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

On the performance of artificial bee colony (ABC) algorithm

(2007) D. Karaboga et al.   APPLIED SOFT COMPUTING