Smart energy and electric power systems: current trends and new intelligent perspectives
Smart Energy and Electric Power Systems: Current Trends and New Intelligent Perspectives reviews key applications of intelligent algorithms and machine learning techniques to increasingly complex and data-driven power systems with distributed energy resources to enable evidence-driven decision-makin...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam, Netherlands
Elsevier
[2023]
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| Schlagworte: | |
| Zusammenfassung: | Smart Energy and Electric Power Systems: Current Trends and New Intelligent Perspectives reviews key applications of intelligent algorithms and machine learning techniques to increasingly complex and data-driven power systems with distributed energy resources to enable evidence-driven decision-making and mitigate catastrophic power shortages. The book reviews foundations towards the integration of machine learning and smart power systems before addressing key challenges and issues. The work then explores AI- and ML-informed techniques to rebalancing of supply and demand. Methods discussed include distributed energy resources and prosumer markets, electricity demand prediction, component fault detection, and load balancing. Security solutions are introduced, along with potential solutions to cyberattacks, security data detection and critical loads in power systems. The work closes with a lengthy discussion, informed by case studies, on integrating AI and ML into the modern energy sector.- Helps improve the prediction capability of AI algorithms to make evidence-based decisions in the smart supply of electricity, including load shedding- Focuses on how to integrate AI and ML into the energy sector in the real-world, with many chapters accompanied by case studies- Addresses a number of proven AI and ML- informed techniques in rebalancing supply and demand |
| Beschreibung: | 1. Introduction: Artificial intelligence and Smart Power Systems; 2. Integrated Architecture of Machine Learning and Smart Power System; 3. Challenges and issues in Power Systems; 4. Load shedding and related techniques to solve the power crisis; 5. ML in distributed energy resources and prosumers market; 6. ML-based electricity demand prediction; 7. Applying ML to determine the power outage; 8. Predictive and Prescriptive analytics for component fault detection; 9. Balancing demand and supply of electricity with machine learning; 10. Preventive care of grid hardware with anomaly detection; 11. AI-based Smart feeder monitoring system; 12. Algorithms for buss loss and reliability indices calculations; 13. ML-based security solutions to protect smart power systems; 14. Cyber-attacks ,security data detection, and critical loads in the power systems; 15. Integration of AI/ML into the energy sector: Case Studies |
| Beschreibung: | xvii, 207 Seiten Illustrationen 229 mm |
| ISBN: | 9780323916646 |
Internformat
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| isbn | 9780323916646 |
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| spelling | Smart energy and electric power systems current trends and new intelligent perspectives edited by Sanjeevikkumar Padmanaban, Jens Bo Holm-Nielsen, Kayal Padmanandam, Rajesh Kumar Dhanaraj, Balamurugan Balusamy Amsterdam, Netherlands Elsevier [2023] xvii, 207 Seiten Illustrationen 229 mm txt rdacontent n rdamedia nc rdacarrier 1. Introduction: Artificial intelligence and Smart Power Systems; 2. Integrated Architecture of Machine Learning and Smart Power System; 3. Challenges and issues in Power Systems; 4. Load shedding and related techniques to solve the power crisis; 5. ML in distributed energy resources and prosumers market; 6. ML-based electricity demand prediction; 7. Applying ML to determine the power outage; 8. Predictive and Prescriptive analytics for component fault detection; 9. Balancing demand and supply of electricity with machine learning; 10. Preventive care of grid hardware with anomaly detection; 11. AI-based Smart feeder monitoring system; 12. Algorithms for buss loss and reliability indices calculations; 13. ML-based security solutions to protect smart power systems; 14. Cyber-attacks ,security data detection, and critical loads in the power systems; 15. Integration of AI/ML into the energy sector: Case Studies Smart Energy and Electric Power Systems: Current Trends and New Intelligent Perspectives reviews key applications of intelligent algorithms and machine learning techniques to increasingly complex and data-driven power systems with distributed energy resources to enable evidence-driven decision-making and mitigate catastrophic power shortages. The book reviews foundations towards the integration of machine learning and smart power systems before addressing key challenges and issues. The work then explores AI- and ML-informed techniques to rebalancing of supply and demand. Methods discussed include distributed energy resources and prosumer markets, electricity demand prediction, component fault detection, and load balancing. Security solutions are introduced, along with potential solutions to cyberattacks, security data detection and critical loads in power systems. The work closes with a lengthy discussion, informed by case studies, on integrating AI and ML into the modern energy sector.- Helps improve the prediction capability of AI algorithms to make evidence-based decisions in the smart supply of electricity, including load shedding- Focuses on how to integrate AI and ML into the energy sector in the real-world, with many chapters accompanied by case studies- Addresses a number of proven AI and ML- informed techniques in rebalancing supply and demand Intelligentes Stromnetz (DE-588)7708028-2 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Smart Energy (DE-588)1262853362 gnd rswk-swf Elektrizitätsversorgungsnetz (DE-588)4121178-9 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Intelligentes Stromnetz (DE-588)7708028-2 s Smart Energy (DE-588)1262853362 s Elektrizitätsversorgungsnetz (DE-588)4121178-9 s Künstliche Intelligenz (DE-588)4033447-8 s DE-604 Sanjeevikumar, Padmanaban 1978- (DE-588)1220850691 edt Holm-Nielsen, Jens Bo (DE-588)1157033725 edt |
| spellingShingle | Smart energy and electric power systems current trends and new intelligent perspectives Intelligentes Stromnetz (DE-588)7708028-2 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Smart Energy (DE-588)1262853362 gnd Elektrizitätsversorgungsnetz (DE-588)4121178-9 gnd |
| subject_GND | (DE-588)7708028-2 (DE-588)4033447-8 (DE-588)1262853362 (DE-588)4121178-9 (DE-588)4143413-4 |
| title | Smart energy and electric power systems current trends and new intelligent perspectives |
| title_auth | Smart energy and electric power systems current trends and new intelligent perspectives |
| title_exact_search | Smart energy and electric power systems current trends and new intelligent perspectives |
| title_exact_search_txtP | Smart energy and electric power systems current trends and new intelligent perspectives |
| title_full | Smart energy and electric power systems current trends and new intelligent perspectives edited by Sanjeevikkumar Padmanaban, Jens Bo Holm-Nielsen, Kayal Padmanandam, Rajesh Kumar Dhanaraj, Balamurugan Balusamy |
| title_fullStr | Smart energy and electric power systems current trends and new intelligent perspectives edited by Sanjeevikkumar Padmanaban, Jens Bo Holm-Nielsen, Kayal Padmanandam, Rajesh Kumar Dhanaraj, Balamurugan Balusamy |
| title_full_unstemmed | Smart energy and electric power systems current trends and new intelligent perspectives edited by Sanjeevikkumar Padmanaban, Jens Bo Holm-Nielsen, Kayal Padmanandam, Rajesh Kumar Dhanaraj, Balamurugan Balusamy |
| title_short | Smart energy and electric power systems |
| title_sort | smart energy and electric power systems current trends and new intelligent perspectives |
| title_sub | current trends and new intelligent perspectives |
| topic | Intelligentes Stromnetz (DE-588)7708028-2 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Smart Energy (DE-588)1262853362 gnd Elektrizitätsversorgungsnetz (DE-588)4121178-9 gnd |
| topic_facet | Intelligentes Stromnetz Künstliche Intelligenz Smart Energy Elektrizitätsversorgungsnetz Aufsatzsammlung |
| work_keys_str_mv | AT sanjeevikumarpadmanaban smartenergyandelectricpowersystemscurrenttrendsandnewintelligentperspectives AT holmnielsenjensbo smartenergyandelectricpowersystemscurrenttrendsandnewintelligentperspectives |