以知識圖譜分析建築智慧電表用電行為;Analyzing Building Smart Meter Electricity Usage Behavior with Knowledge Graphs

NCUIR > Engineering College > Graduate Institute of Civil Engineering > Electronic Thesis & Dissertation > Item 987654321/92012

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/92012

Title:	以知識圖譜分析建築智慧電表用電行為;Analyzing Building Smart Meter Electricity Usage Behavior with Knowledge Graphs
Authors:	王乃儀;Wang, Nai-Yi
Contributors:	土木工程學系
Keywords:	知識圖譜;智慧電表;建築能耗管理;Knowledge Graph;Smart Meter;Building Energy Consumption Management
Date:	2024-01-30
Issue Date:	2024-09-19 14:46:39 (UTC+8)
Publisher:	國立中央大學
Abstract:	本論文的研究聚焦於利用知識圖譜技術分析台灣建築智慧電表中的用電行為，目的在於提升能源管理的效率和準確性，並為用戶和電力公司之間的互動提供支持。台灣作為一個高度工業化的地區，面臨著能源安全的重大挑戰。為了應對這一挑戰，台灣政府積極推動能源轉型政策，包括智慧電網的推動計劃，其中智慧電表系統在提升能源使用效率和透明化方面扮演著關鍵角色。本研究指出，傳統的關聯式資料庫在處理複雜的用電數據時存在一定的限制，因此提出利用知識圖譜來改善數據分析的效率和準確性。知識圖譜是一種將零散數據結構化並形成可視化知識網絡的技術，能夠揭示數據間的複雜關聯和隱藏模式。在智慧電表的應用場景中，知識圖譜不僅有助於理解能源消費的實際情況，還能指導節能減排政策的制定和實施。本研究的流程包括定義研究目的和問題、進行文獻回顧、建置智慧電表知識圖譜和建築能耗知識圖譜，最後提出結論和建議。文獻回顧部分涉及智慧電表、知識圖譜及其相關應用和技術總覽。通過文獻回顧，研究揭示了知識圖譜在不同領域的應用優勢，為基於智慧電表的知識圖譜架構提供參考，並進行數據分析以提出有針對性的結論和建議。總結而言，本論文通過探討知識圖譜在智慧電表數據分析中的應用，為能源管理和節能減排提供了新的視角和方法。這不僅有助於提升台灣能源的安全、永續與高效管理，也為能源技術的創新和永續發展貢獻了力量。隨著技術的進步和數據分析能力的提升，知識圖譜將在台灣能源領域發揮越來越重要的作用。 ;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.
Appears in Collections:	[Graduate Institute of Civil Engineering] Electronic Thesis & Dissertation

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	3	View/Open

社群 sharing

Loading...