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

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.

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.

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.