Non-intrusive load monitoring : theory, technologies and applications

• 作者： Liu, Hui, author.
• 其他作者：
  • SpringerLink (Online service)
• 出版： Singapore : Springer Singapore :Imprint: Springer
• 主題： Electric power systems--Load dispatching. , Energy Efficiency. , Artificial Intelligence. , Power Electronics, Electrical Machines and Networks.
• ISBN： 9789811518607 (electronic bk.) 、 9789811518591 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: Introduction -- Detection of Transient Events in Time Series -- Appliance Signature Extraction -- Appliance Identification Based on Template Matching -- Steady State Current Decomposition Based Appliance Identification -- Machine Learning Based Appliance Identification -- Hidden Markov Models Based Appliance Identification -- Deep Learning Based Appliance Identification -- Deterministic Prediction of Electric Load Time Series -- Interval Prediction of Electric Load Time Series.
• More
• 摘要註: Focusing on non-intrusive load monitoring techniques in the area of smart grids and smart buildings, this book presents a thorough introduction to related basic principles, while also proposing improvements. As the basis of demand-side energy management, the non-intrusive load monitoring techniques are highly promising in terms of their energy-saving and carbon emission reduction potential. The book is structured clearly and written concisely. It introduces each aspect of these techniques with a number of examples, helping readers to understand and use the corresponding results. It provides latest strengths on the non-intrusive load monitoring techniques for engineers and managers of relevant departments. It also offers extensive information and a source of inspiration for researchers and students, while outlining future research directions.
• 讀者標籤：

  需登入
• 引用連結：

  Copy Link
• 目前引用數
• Share: