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Language/s: | English |
Publication statement: | Singapore : Springer Singapore Pte. Limited, [2024] |
Copyright date: | ©2024 |
Extent: | 1 Online-Ressource (1012 Seiten) |
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Note: | Description based on publisher supplied metadata and other sources. |
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ISBN: | 978-981-99-6749-0 |
Further documents: | Dewey Decimal Classification: 621.042 |
Abstract: | Intro -- Preface -- Contents -- About the Editors -- Editorial: Renewable Power for Sustainable Growth -- 1 Introduction -- References -- An Efficient Algorithm for Energy Management in Smart Grid for Various Improvements -- 1 Introduction -- 1.1 Smart Grid -- 1.2 Algorithm -- 1.3 Energy Management System (EMS) -- 2 Review of AI Techniques -- 2.1 Expert System -- 2.2 Fuzzy Logic -- 2.3 Artificial Neural Network (ANN) -- 3 Conclusion -- References -- Investigations and Validation of PV-Powered Unified Power Quality Conditioner for Electric Vehicle Smart Charger in Standard AC/DC Hybrid Microgrid Test System -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Modeling of AC Grid System -- 2.2 Modeling of DC Distribution System -- 2.3 Load -- 2.4 Proposed Approach -- 2.5 Control Scheme -- 2.6 Modeling of AC/DC Hybrid Microgrid in IEEE 14 Bus System -- 3 Results and Discussion -- 3.1 Performance Analysis of UPQC in AC/DC Hybrid Microgrid System -- 3.2 Performance Analysis of UPQC in Standard IEEE 14 Bus Microgrid Model Distribution System -- 4 Conclusion -- References -- Short-Term Electricity Load Forecasting Using Modified Hidden Markov Model -- 1 Introduction -- 2 Hidden Markov Model -- 3 Proposed HMM as Forecasting Model -- 3.1 Exploratory Analysis -- 3.2 Data Preparation -- 3.3 Modified HMM -- 4 Results -- 5 Conclusion -- References -- Microgrid Systems with Classical Primary Control Techniques-A Review -- 1 Introduction -- 2 Primary Controller -- 2.1 Internal Loop -- 2.2 Voltage Droop Control (VDC) -- 3 Conclusion -- References -- Green Energy Solutions for Indoor Air Quality Improvement -- 1 Introduction -- 2 Proposed Approach -- 3 Related Work -- 4 Methodology -- 5 Result -- 6 Conclusion -- References -- Data Resource Library for Renewable Energy Prediction/Forecasting -- 1 Introduction -- 2 Multiple Domains of Data Resources. |
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Location: | Electronic Resource - Use requires library card of the Staatsbibliothek zu Berlin |
Note: | Einzelnutzerlizenz |
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