Optimal Selection of Clustering Algorithm via Multi-Criteria Decision Analysis (MCDA) for Load Profiling Applications

Collaborative clustering: Why, when, what and how

(2018) Antoine Cornuéjols et al.   Information Fusion

Multi-Objective Optimized Aggregation of Demand Side Resources Based on a Self-organizing Map Clustering Algorithm Considering a Multi-Scenario Technique

(2017) Yajing Gao et al.   Energies

An Improved Fuzzy C-Means Algorithm for the Implementation of Demand Side Management Measures

(2017) Ioannis Panapakidis et al.   Energies

A bibliometric-based survey on AHP and TOPSIS techniques

(2017) Shaher H. Zyoud et al.   EXPERT SYSTEMS WITH APPLICATIONS

Oblique random forest ensemble via Least Square Estimation for time series forecasting

(2017) Xueheng Qiu et al.   INFORMATION SCIENCES

A review of clustering techniques and developments

(2017) Amit Saxena et al.   NEUROCOMPUTING

Machine Learning for Identifying Demand Patterns of Home Energy Management Systems with Dynamic Electricity Pricing

(2017) Derck Koolen et al.   Applied Sciences-Basel

Implementation of modified versions of the K-means algorithm in power load curves profiling

(2017) Ioannis P. Panapakidis et al.   Sustainable Cities and Society

Regional electricity consumption analysis for consumers using data mining techniques and consumer meter reading data

(2016) Ravindra R. Rathod et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

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

(2015) Fintan McLoughlin et al.   APPLIED ENERGY

Electricity Customer Clustering Following Experts’ Principle for Demand Response Applications

(2015) Jimyung Kang et al.   Energies

Data-Driven Baseline Estimation of Residential Buildings for Demand Response

(2015) Saehong Park et al.   Energies

Evaluation of the performance of clustering algorithms for a high voltage industrial consumer

(2015) Ioannis Panapakidis et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Time-series clustering – A decade review

(2015) Saeed Aghabozorgi et al.   INFORMATION SYSTEMS

Flexible Transmission Network Expansion Planning Considering Uncertain Renewable Generation and Load Demand Based on Hybrid Clustering Analysis

(2015) Yun-Hao Li et al.   Applied Sciences-Basel

Clustering analysis of residential electricity demand profiles

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

A study of factors enhancing smart grid consumer engagement

(2014) Chan-Kook Park et al.   ENERGY POLICY

Analysis of Similarity Measures in Times Series Clustering for the Discovery of Building Energy Patterns

(2013) Félix Iglesias et al.   Energies

Consumer engagement: An insight from smart grid projects in Europe

(2013) Flavia Gangale et al.   ENERGY POLICY

Data size reduction with symbolic aggregate approximation for electrical load pattern grouping

(2013) Antonio Notaristefano et al.   IET Generation Transmission & Distribution

The load characteristics classification and synthesis of substations in large area power grid

(2013) Zhenshu Wang et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Dynamic clustering segmentation applied to load profiles of energy consumption from Spanish customers

(2013) Ignacio Benítez et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Classification and Clustering of Electricity Demand Patterns in Industrial Parks

(2012) Luis Hernández et al.   Energies

Overview and performance assessment of the clustering methods for electrical load pattern grouping

(2012) Gianfranco Chicco   ENERGY

Customer Classification and Load Profiling Method for Distribution Systems

(2011) Antti Mutanen et al.   IEEE TRANSACTIONS ON POWER DELIVERY

Building load management using cluster and statistical analyses

(2011) Patricia R.S. Jota et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Smart meters for power grid: Challenges, issues, advantages and status

(2011) Soma Shekara Sreenadh Reddy Depuru et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Data-based method for creating electricity use load profiles using large amount of customer-specific hourly measured electricity use data

(2010) Teemu Räsänen et al.   APPLIED ENERGY

Hopfield–K-Means clustering algorithm: A proposal for the segmentation of electricity customers

(2010) José J. López et al.   ELECTRIC POWER SYSTEMS RESEARCH

Renyi entropy-based classification of daily electrical load patterns

(2010) G. Chicco et al.   IET Generation Transmission & Distribution

A three-stage strategy for optimal price offering by a retailer based on clustering techniques

(2010) N. Mahmoudi-Kohan et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Modeling and prioritizing demand response programs in power markets

(2009) H.A. Aalami et al.   ELECTRIC POWER SYSTEMS RESEARCH

Support Vector Clustering of Electrical Load Pattern Data

(2009) G. Chicco et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

A pattern recognition methodology for evaluation of load profiles and typical days of large electricity customers

(2008) G.J. Tsekouras et al.   ELECTRIC POWER SYSTEMS RESEARCH