Journal ArticleDOI
Overview and performance assessment of the clustering methods for electrical load pattern grouping
TLDR
In this paper, an overview of the clustering techniques used to establish suitable customer grouping, included in a general scheme for analysing electrical load pattern data, is provided, illustrated and discussed, providing links to relevant literature references.About:
This article is published in Energy.The article was published on 2012-06-01. It has received 414 citations till now. The article focuses on the topics: Cluster analysis.read more
Citations
More filters
Journal ArticleDOI
Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges
TL;DR: An application-oriented review of smart meter data analytics identifies the key application areas as load analysis, load forecasting, and load management and reviews the techniques and methodologies adopted or developed to address each application.
Journal ArticleDOI
Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges
TL;DR: In this paper, the authors conduct an application-oriented review of smart meter data analytics following the three stages of analytics, namely, descriptive, predictive and prescriptive analytics, identifying the key application areas as load analysis, load forecasting, and load management.
Journal ArticleDOI
Big data driven smart energy management: From big data to big insights
Kaile Zhou,Chao Fu,Shanlin Yang +2 more
TL;DR: A systematic review of big data analytics for smart energy management from four major aspects, namely power generation side management, microgrid and renewable energy management, asset management and collaborative operation, as well as demand side management (DSM).
Journal ArticleDOI
Using Smart Meter Data to Improve the Accuracy of Intraday Load Forecasting Considering Customer Behavior Similarities
TL;DR: This paper addresses the efforts involved in improving the system level intraday load forecasting by applying clustering to identify groups of customers with similar load consumption patterns from smart meters prior to performing load forecasting.
Journal ArticleDOI
Analysis and Clustering of Residential Customers Energy Behavioral Demand Using Smart Meter Data
TL;DR: In-depth analysis of customer smart meter data is presented to better understand the peak demand and major sources of variability in their behavior, and the first time in the power systems literature that the sample robustness of the clustering has been tested.
References
More filters
Book
C4.5: Programs for Machine Learning
TL;DR: A complete guide to the C4.5 system as implemented in C for the UNIX environment, which starts from simple core learning methods and shows how they can be elaborated and extended to deal with typical problems such as missing data and over hitting.
Journal ArticleDOI
Hierarchical Grouping to Optimize an Objective Function
TL;DR: In this paper, a procedure for forming hierarchical groups of mutually exclusive subsets, each of which has members that are maximally similar with respect to specified characteristics, is suggested for use in large-scale (n > 100) studies when a precise optimal solution for a specified number of groups is not practical.
Book
Pattern Recognition with Fuzzy Objective Function Algorithms
TL;DR: Books, as a source that may involve the facts, opinion, literature, religion, and many others are the great friends to join with, becomes what you need to get.
Journal ArticleDOI
Data clustering: a review
TL;DR: An overview of pattern clustering methods from a statistical pattern recognition perspective is presented, with a goal of providing useful advice and references to fundamental concepts accessible to the broad community of clustering practitioners.
Book
Cluster Analysis
TL;DR: This fourth edition of the highly successful Cluster Analysis represents a thorough revision of the third edition and covers new and developing areas such as classification likelihood and neural networks for clustering.