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Applications of Big Data and Artificial Intelligence in Smart Energy Systems : Volume 1 Smart Energy System: Design and Its State-Of-the Art Technologies [electronic resource]
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Nagpal, Neelu. Alhelou, Hassan Haes, 1988- Siano, Pierluigi. Sanjeevikumar, Padmanaban, 1978- Lakshmi, D. |
| 서명/저자사항 | Applications of Big Data and Artificial Intelligence in Smart Energy Systems[electronic resource] :Volume 1 Smart Energy System: Design and Its State-Of-the Art Technologies. |
| 발행사항 | Milton : River Publishers, 2023. |
| 형태사항 | 1 online resource (318 p.). |
| 총서사항 | River Publishers Series in Computing and Information Science and Technology Series |
| 소장본 주기 | Added to collection customer.56279.3 |
| ISBN | 1000963837 9781003440710 1003440711 9781000963823 1000963829 9788770228244 8770228248 9781000963830 |
| 기타표준부호 | 10.1201/9781003440710doi |
| 일반주기 |
Description based upon print version of record.
4.1.2.3: Gaussian mixture model (GMM) |
| 내용주기 | Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- Preface -- List of Figures -- List of Tables -- List of Contributors -- List of Abbreviations -- Chapter 1: Introduction to Smart Energy Systems in Recent Trends -- 1.1: Introduction -- 1.2: Global Emission -- 1.3: Evolution for Clean Energy: A Transition -- 1.4: Smart Energy System -- 1.5: Internet of Things (IoT) for Smart and Sustainable Future -- 1.5.1: IoT in smart city -- 1.5.2: IoT in agriculture -- 1.5.3: IoT in healthcare -- 1.5.4: IoT in smart grid and power management system 1.6: Recent Developments in Smart Energy Systems -- 1.7: Conclusion and Future Measures to be Considered -- Chapter 2: An Overview of Artificial Intelligence, Big Data, and Internet of Things for Future Energy Systems -- 2.1: Introduction -- 2.2: Related Work -- 2.3: Sectors Involved in Energy Need Big Data, AI, and IoT -- 2.3.1: The energy sector requires big data -- 2.3.2: Big data techniques -- 2.3.3: Data communication techniques -- 2.3.4: Techniques for analyzing data -- 2.3.5: Data analytics techniques in smart grid -- 2.3.6: Mining data from a power system 2.3.7: Modern grid systems and power consumption advanced analytics -- 2.4: Supporting Power Usage with IoT and Artificial Intelligence -- 2.4.1: The need for artificial intelligence in the renewable energy industry -- 2.4.2: Artificial intelligence (AI) research techniques classification -- 2.4.2.1: The use of computer-assisted learning systems -- 2.4.2.2: Fuzzy logic -- 2.4.2.3: Computer-aided translation -- 2.4.2.4: Robotics -- 2.4.2.5: Need of robotics in the energy sector -- 2.4.3: The energy sector requires IoT -- 2.5: Role of IoT in Energy Sectors 2.5.1: IoT Impacts for the energy sector -- 2.5.2: Internet of Things applications in energy policy, economics, and production -- 2.5.2.1: Sectors of regulation and the market -- 2.5.2.2: Energy supply sector -- 2.5.2.3: Power transmission grids or energy grids -- 2.5.2.4: Energy demand sector -- 2.6: Future Energy Systems' Unsolved Problems -- 2.6.1: IoT energy sector challenges -- 2.6.2: Open challenges in AI energy sector -- 2.6.3: Open data analytics challenges in energy -- 2.7: Conclusion -- Chapter 3: LoRa: A New Technology for Smart Grid Applications -- 3.1: Introduction 3.2: Related Work and Background -- 3.3: LoRa Challenges -- 3.4: LoRa Applications -- 3.5: Characteristics and Future Direction of LoRa Technology -- 3.5.1: Communication Range: -- 3.5.2: Placement of Multiple Gateways: -- 3.5.3: Link Coordination: -- 3.5.4: Security -- 3.5.5: Big data and AI -- 3.6: Case Study -- 3.7: Conclusion -- Chapter 4: Clustering Hybrid Application for Load Forecasting in Smart Grids -- 4.1: Introduction -- 4.1.1: Dataset pre-processing -- 4.1.2: Clustering techniques -- 4.1.2.1: K-means -- 4.1.2.2: Partitioning around medoids (PAM) |
| 요약 | This book covers the applications of various big data analytics, artificial intelligence, and machine learning technologies in smart grids for demand prediction, decision-making processes, policy, and energy management. |
| 일반주제명 | Smart power grids. Big data -- Industrial applications. Artificial intelligence -- Industrial applications. Re?seaux e?lectriques intelligents. Donne?es volumineuses -- Applications industrielles. Intelligence artificielle -- Applications industrielles. SCIENCE / Energy Artificial intelligence -- Industrial applications. Smart power grids. |
| 언어 | 영어 |
| 기타형태 저록 | Print version:Nagpal, NeeluApplications of Big Data and Artificial Intelligence in Smart Energy SystemsMilton : River Publishers,c20239788770228251 |
| 대출바로가기 | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3654019 |
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