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Smart Energy and Electric Power Systems
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
Wired/Wireless Internet Communication
This book constitutes the refereed proceedings of the 11th International Conference on Wired/Wireless Internet Communications, WWIC 2013, held in St. Petersburg, Russia, during June 5-7, 2013. The 21 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on: MAC and scheduling; mobility; fixed networks; services and security; sensor networks; services; and wireless.
Macroclimate and Plant Forms
Author: Elgene E. O. Box
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
This study arose out ofthe old question of what actually determines vegetation structure and distributions. Is climate the overriding control, as one would suppose from reading the more geographically oriented literature? Or is climate only incidental, as suggested by more site and/ or taxon-oriented writers? The question might be phrased more realistically: How much does climate control vegetation processes, structures, and distributions? It seemed to me, as an ambitious doctoral student, that one way to attempt an answer might be to try to predict world vegetation from climate alone and then compare the predicted results with actual vegetation patterns. If climatic data were sufficient to reproduce the world's actual vegetation patterns, then one could conclude that climate is the main control. This book represents an expanded, second-generation version of that original thesis. It presents world-scale vegetation and ecoclimatic models and a methodology for applying such models to predict vegetation and for evaluating model results. This approach also provides a means of geographical simulation of vegetation patterns and changes, which represent necessary data inputs in other fields such as atmospheric chemistry and biogeochemical cycling. It has been fairly well accepted that climatic and other environmental conditions are associated with the evolution of particular aspects of plant form (convergent evolution). The particular configurations of plant size, photosynthetic surface area and structure (e. g. sclerophylly, stomatal 'resistance'), and their seasonal variations represent what one can recognize fairly readily as distinct growth forms.