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Clustering Of Electricity Consumption Behavior Dynamics Toward Big Data Applications project in Java Spring Framework.

Java Spring Framework project   Last updated on - January 5, 2020
Kalaiselvi Elumalai
Kalaiselvi Elumalai
php java big data Html Css Javascript Jquery 
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In this page Clustering Of Electricity Consumption Behavior Dynamics Toward Big Data Applications project is a desktop application which is developed in Java Spring Framework platform. This Java Spring Framework project with tutorial and guide for developing a code. Clustering Of Electricity Consumption Behavior Dynamics Toward Big Data Applications is a open source you can Download zip and edit as per you need. If you want more latest Java Spring Framework projects here. This is simple and basic level small project for learning purpose. Also you can modified this system as per your requriments and develop a perfect advance level project. This project can edit using a Eclipse IDE. Following Java Spring Framework project contains all the important features which can be in use for the BE, BTech, MCA, BCA, Engineering, Bs.CS, IT, Software Engineering, Computer Science students and Devloper for their college projects. This script developed by Kalaiselvi Elumalai. This desktop application 100% working smooth without any bug. It is developed using java,hadoop and Database hdfs. This software code helpful in academic projects and research paper for final year computer science. To download Clustering Of Electricity Consumption Behavior Dynamics Toward Big Data Applications project in Java Spring Framework with source code files, please scroll down to the bottom of this page for the Download Zip file of source code button.

About project

project Name

Clustering Of Electricity Consumption Behavior Dynamics Toward Big Data Applications

Project Complexityadvanced
Duration15 Days
project ID2437
Developer NameKalaiselvi Elumalai
Publish DateJanuary 5, 2020
project PlatformJava Spring Framework
Programming LanguageFor this particular Java Spring Framework project, java,hadoop is required
Front EndHTML, CSS, Bootstrap
Back EndJAVA, MySQL, Oracle, MariaDB
IDE ToolEclipse
Database Integrationhdfs
project Typedesktop Application
No of project Download244
project Total View6292
Today Trends443
Current Month Trends458
Last Month Trends56

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Features of the Clustering Of Electricity Consumption Behavior Dynamics Toward Big Data Applications project

We will implement the following feature in the Java Spring Framework Clustering Of Electricity Consumption Behavior Dynamics Toward Big Data Applications Project:
In a competitive retail market, large volumes of smart meter data provide opportunities for load serving entities (LSEs) to enhance their knowledge of customers' electricity consumption behaviors via load profiling. Instead of focusing on the shape of the load curves, this paper proposes a novel approach for clustering of electricity consumption behavior dynamics, where “dynamics” refer to transitions and relations between consumption behaviors, or rather consumption levels, in adjacent periods. First, for each individual customer, symbolic aggregate approximation (SAX) is performed to reduce the scale of the data set, and time-based Markov model is applied to model the dynamic of electricity consumption, transforming the large data set of load curves to several state transition matrixes. Second, a clustering technique by Fast Search and Find of Density Peaks (CFSFDP) is primarily carried out to obtain the typical dynamics of consumption behavior, with the difference between any two consumption patterns measured by the Kullback–Liebler (K-L) distance, and to classify the customers into several clusters. To tackle the challenges of big data, the CFSFDP technique is integrated into a divide-and-conquer approach toward big data applications. A numerical case verifies the effectiveness of the proposed models and approaches.

User modules and function of Clustering Of Electricity Consumption Behavior Dynamics Toward Big Data Applications

We will implement the following functionalities in the Java Spring Framework Clustering Of Electricity Consumption Behavior Dynamics Toward Big Data Applications Project:

Software requirement to run this project

Java Development Kit (JDK) Version: Java 8 or higher (Java 11 or Java 17 is recommended as of 2024 for LTS support). Spring Framework IDE: Eclipse, IntelliJ IDEA, or VS Code with Java and Spring Boot extensions. Database: MySQL, PostgreSQL or MongoDB. Application Server : Need a web server like Apache Tomcat or Jetty.

Hardware requirement to run this project

Processor (CPU): Minimum: 2-core processor (e.g., Intel Core i3 or equivalent) Recommended: 4-core or better (e.g., Intel Core i5/i7, AMD Ryzen 5/7) RAM (Memory): Minimum: 8 GB of RAM Recommended: 16 GB of RAM (especially if running Docker, multiple services, or heavy IDEs) Hard Disk: Minimum: 50 GB of free disk space (SSD is recommended for faster performance) Recommended: 100 GB or more (for large projects or multiple repositories) Display: Minimum: 1080p resolution (1920x1080) for better productivity, especially if using modern IDEs with multiple panes (for coding, testing, etc.) Recommended: Dual monitors for multitasking (optional but helpful) Operating System: Windows 10/11, macOS, or Linux (Ubuntu, CentOS, etc.) Linux is often preferred for server-side development due to its compatibility with Spring and deployment environments.

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