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  • 1
    Online Resource
    Online Resource
    Distribution Grids of the Future : Planning for Flexibility to Operate under Growing Uncertainty. (2018)
    Norwell, MA :Now Publishers,
    Details
    Keywords: Electric power distribution-Mathematical models. ; Electronic books.
    Description / Table of Contents: This monograph provides a succinct overview of the techniques and challenges facing the future of electricity distribution grids. Students, researchers and practitioners working on all aspects of electric energy systems will find this an incisive overview of the near-future challenges they face.
    Type of Medium: Online Resource
    Pages: 1 online resource (99 pages)
    Edition: 1st ed.
    ISBN: 9781680835137
    Series Statement: Foundations and Trends® in Electric Energy Systems Series ; v.7
    URL: https://ebookcentral.proquest.com/lib/geomar/detail.action?docID=6308881
    DDC: 333.7932
    Language: English
    Note: Intro -- Introduction -- Paradigm change: from maximum efficiency to minimum capacity -- Design trends -- Organization of the paper -- Capacity adequacy and optimization challenges -- Reliability and capacity adequacy -- Optimal design problem and solution challenges -- Load modeling and chronologic simulation -- Data analytics for stochastic load modelling -- Sampling and synthesis for decision-making -- Congestion mitigation and reinforcement deferral -- Introducing investment timing -- From priority shedding to intelligent response -- Demand response as a new dimension -- Conclusions -- References.
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  • 2
    Online Resource
    Online Resource
    Nature-based Solutions for Circular Management of Urban Water (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details Availability
    Keywords: Environmental management. ; Water. ; Hydrology. ; Power resources. ; Environmental economics. ; Human geography. ; Economic geography. ; Social sciences.
    Description / Table of Contents: Chapter 1. Circular Cities Solution with Biophilic Design and Nature-based Solutions -- Chapter 2. The Role of Multipurpose NbS Interventions in Increasing the Circularity of Cities -- Chapter 3. Nature-Based Solutions for a circular water economy: Examples of new green infrastructure -- Chapter 4. Assessment of urban rain gardens within climate change adaptation and circularity challenge -- Chapter 5. The Employment of Rain Gardens in Urban Water Management to Improve Biodiversity and Ecosystem Resilience -- Chapter 6. A study of Nature-based Solutions via a Thematic Analysis of the Stakeholders’ Perceptions to address water scarcity in a Hot and Semiarid Climate: A Case Study of Iran -- Chapter 7. Achieving Sustainable Development Goals through NGOs-led women’ and young girls’ empowerment programs and activities in Rural Communities: A Pilot Study from the Niger Republic -- Chapter 8. Phytomining as a Nature-based Solution in the Cities of Albania -- Chapter 9. Nature-based wastewatertreatment systems: An overview of the challenges of small capacity plants in an urban environment -- Chapter 10. Bioremediation of Wastewater from the Tanning Industry under a Circular Economy Model -- Chapter 11. Sustainable decentralized urban water and wastewater treatment in off-grid areas of developing countries using NBS and integrated green technologies -- Chapter 12. Geothermal wastewater management to create a circular economy: Taking advantage of the abundant thermal wastewater in Iceland -- Chapter 13. Opportunities and challenges to implement nature-based solutions for urban waters in developed and emerging developed countries -- Chapter 14. Water Sensitive Design and Nature-Based Solutions for the circular management of urban water: Challenges and missed opportunities in the Auckland Region -- Chapter 15. Wetlands as a Nature-based Solution for Urban Water Management -- Chapter 16. Evidences in hydrodynamic behavior along a Float Treatment Wetland (FTW) on a tropical urban stream -- Chapter 17. Trajectory, challenges, and opportunities in sustainable urban water management in Brazil: nature-based solutions for urban stormwater drainage -- Chapter 18. Nature-based solutions for sustainable stormwater management as means to increase resilience to climate change, promote circularity and improve city aesthetics -- Chapter 19. Nature-based Solutions for circular management of urban water in the Built Environment of Sri Lanka -- Chapter 20. The Hydraulic Approach Relevant to Circularity on Sustainable Water Catchment -- Chapter 21. Exploration of Nature-Based Solutions for Management of Perennial Urban Flood and Erosion: A Case Study of Bulbula, Kano, Nigeria -- Chapter 22. Complex micro-meteorological effects of urban greenery in an urban canyon: a case study of Prague-Dejvice, Czech Republic -- Chapter 23. Harvesting of agricultural nutrient runoff with algae, to produce new soil amendments for urban and peri urban olive tree agroforestry systems in Southern Europe.
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource(VII, 441 p. 1 illus.)
    Edition: 1st ed. 2024.
    ISBN: 9783031507250
    Series Statement: Circular Economy and Sustainability
    URL: https://doi.org/10.1007/978-3-031-50725-0
    DOI: 10.1007/978-3-031-50725-0
    Language: English
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  • 3
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    Entropy, Vol. 15, Pages 2716-2735: Efficient Approximation of the Conditional Relative Entropy with Applications to Discriminative Learning of Bayesian Network Classifiers (2013)
    MDPI Publishing
    In: Entropy
    Details
    Publication Date: 2013-07-13
    Description: We propose a minimum variance unbiased approximation to the conditional relative entropy of the distribution induced by the observed frequency estimates, for multi-classification tasks. Such approximation is an extension of a decomposable scoring criterion, named approximate conditional log-likelihood (aCLL), primarily used for discriminative learning of augmented Bayesian network classifiers. Our contribution is twofold: (i) it addresses multi-classification tasks and not only binary-classification ones; and (ii) it covers broader stochastic assumptions than uniform distribution over the parameters. Specifically, we considered a Dirichlet distribution over the parameters, which was experimentally shown to be a very good approximation to CLL. In addition, for Bayesian network classifiers, a closed-form equation is found for the parameters that maximize the scoring criterion.
    Electronic ISSN: 1099-4300
    Topics: Chemistry and Pharmacology , Physics
    Published by MDPI Publishing
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  • 4
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    Modeling directional spatio-temporal processes in island biogeography (2015)
    Wiley-Blackwell
    Details
    Publication Date: 2015-10-05
    Description: A key challenge in island biogeography is to quantity the role of dispersal in shaping biodiversity patterns among the islands of a given archipelago. Here, we propose such a framework. Dispersal within oceanic archipelagos may be conceptualized as a spatio-temporal process dependent on: (1) the spatial distribution of islands, because the probability of successful dispersal is inversely related to the spatial distance between islands and (2) the chronological sequence of island formation that determines the directional asymmetry of dispersal (hypothesized to be predominantly from older to younger islands). From these premises, directional network models may be constructed, representing putative connections among islands. These models may be translated to eigenfunctions in order to be incorporated into statistical analysis. The framework was tested with 12 datasets from the Hawaii, Azores, and Canaries. The explanatory power of directional network models for explaining species composition patterns, assessed by the Jaccard dissimilarity index, was compared with simpler time-isolation models. The amount of variation explained by the network models ranged from 5.5% (for Coleoptera in Hawaii) to 60.2% (for Pteridophytes in Canary Islands). In relation to the four studied taxa, the variation explained by network models was higher for Pteridophytes in the three archipelagos. By the contrary, small fractions of explained variation were observed for Coleoptera (5.5%) and Araneae (8.6%) in Hawaii. Time-isolation models were, in general, not statistical significant and explained less variation than the equivalent directional network models for all the datasets. Directional network models provide a way for evaluating the spatio-temporal signature of species dispersal. The method allows building scenarios against which hypotheses about dispersal within archipelagos may be tested. The new framework may help to uncover the pathways via which species have colonized the islands of a given archipelago and to understand the origins of insular biodiversity. Dispersal within archipelagos may be conceptualized as a spatio-temporal process. Directional network models provide a way for evaluating the spatio-temporal signature of species dispersal. The new framework, may help to uncover the pathways via which species have colonized the islands of a given archipelago and to understand the origins of insular biodiversity.
    Electronic ISSN: 2045-7758
    Topics: Biology
    Published by Wiley-Blackwell
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