| dc.description.abstract | This thesis focuses on the use of knowledge graph technology to analyze the electricity usage behavior in Taiwanese smart meter data of buildings, aiming to enhance the efficiency and accuracy of energy management, and to support the interaction between users and power companies. Taiwan, being a highly industrialized region, faces a significant challenge in energy security. To address this challenge, the Taiwanese government has been actively promoting energy transition policies, including the advancement of smart grid initiatives, where smart meter systems play a crucial role in improving energy use efficiency and transparency.
The study points out that traditional relational databases have certain limitations in handling complex electricity data. Therefore, it proposes the use of knowledge graphs to improve the efficiency and accuracy of data analysis. Knowledge graphs, a technology that structures scattered data into a meaningful and visualized knowledge network, can reveal complex relationships and hidden patterns in data. In the context of smart meters, knowledge graphs not only help in understanding the actual situation of energy consumption but also guide the formulation and implementation of energy conservation and emission reduction policies. The research process includes defining the research objectives and questions, conducting a literature review, establishing smart meter knowledge graphs and building energy consumption knowledge graphs, and finally presenting conclusions and recommendations. The literature review covers smart meters, knowledge graphs, their related applications, and an overview of knowledge graph technology. Through the literature review, the study highlights the advantages of knowledge graphs in various fields, providing a reference for the structure of knowledge graphs based on smart meters and conducting data analysis to present targeted conclusions and recommendations.
In summary, this thesis explores the application of knowledge graphs in the analysis of smart meter data, offering a new perspective and method for energy management and energy-saving and emission reduction. This not only helps enhance the security, sustainability, and efficient management of energy in Taiwan but also contributes to the innovation and sustainable development of energy technology. As technology advances and data analysis capabilities improve, knowledge graphs are expected to play an increasingly important role in the energy sector in Taiwan. | en_US |