Buch, Englisch, 280 Seiten, Format (B × H): 152 mm x 229 mm
Buch, Englisch, 280 Seiten, Format (B × H): 152 mm x 229 mm
ISBN: 978-0-443-32926-5
Verlag: Elsevier Science
Stochastic Control in Energy, Environmental and Resource Management Applications presents a comprehensive exploration of stochastic control and offers practical insights and solutions to contemporary challenges in resource, environment, and energy management. From sustainable fishery practices to water quality assessment and renewable energy generation, it addresses urgent global issues. Additionally, it delves into the mathematical and computational aspects of stochastic control, aligning with modern concepts like Sustainable Development Goals and Green Transformation. This book bridges the gap between experimentalists, who face practical issues without strong theoretical foundations, and theoreticians, who often propose idealised solutions. It does so by using stochastic modeling and control theory to foster a more sustainable balance between the environment and humanity.
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau
- Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsvisualisierung
Weitere Infos & Material
1. Introduction
2. Preliminaries
3. Surface water quantity and quality
4. Uncertainty and risk modelling of surface waters
5. Mathematical modelling of fish migration
6. Harvesting problem of fishery resources
7. Algae detachment dynamics and sediment replenishment
8. Crop and vegetation management from mechanistic viewpoints
9. Real option approach for energy market
10. Clean energy generation
11. Conclusions