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GIS-Based Planning and Modeling for Renewable Energy: Challenges and Future Research Avenues
2014
ISPRS International Journal of Geo-Information
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In the face of the broad political call for an -energy turnaround‖, we are currently witnessing three essential trends with regard to energy infrastructure planning, energy generation and storage: from ...
energy systems; operation optimization ...
Furthermore, a special -thank you‖ goes to Bernhard Höfle, who offered us valuable feedback throughout the revision process. ...
doi:10.3390/ijgi3020662
fatcat:f7azpji5xzgy3cm434bz3jvrrm
Big Data and cloud computing: innovation opportunities and challenges
2016
International Journal of Digital Earth
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Cloud computing provides fundamental support to address the challenges with shared computing resources including computing, storage, networking and analytical software; the application of these resources ...
and relevant technologies with new requirements; (iv) intrinsic spatiotemporal principles of Big Data and geospatial sciences provide the source for finding technical and theoretical solutions to optimize ...
Acknowledgements We thank the anonymous reviewers for their insightful comments and reviews. Dr George Taylor reviewed a previous version of this manuscript. ...
doi:10.1080/17538947.2016.1239771
fatcat:qbcgqj2pcvbgja6dnnakoj2saa
Distributed multimedia systems
1997
Proceedings of the IEEE
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A distributed multimedia system (DMS) is an integrated communication, computing, and information system that enables the processing, management, delivery, and presentation of synchronized multimedia information ...
Such a system enhances human communications by exploiting both visual and aural senses and provides the ultimate flexibility in work and entertainment, allowing one to collaborate with remote participants ...
We formally define a DMS as an integrated communication, computing, and information system that enables the processing, management, delivery, and presentation of synchronized multimedia information with ...
doi:10.1109/5.611116
fatcat:xdmlblqyljglxpr3yeyks65vda
Digital Technologies for Forest Supply Chain Optimization: Existing Solutions and Future Trends
2018
Environmental Management
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Therefore, this paper deals with data exchange and multi-entity collaboration aspects in combination with interoperability challenges related with the integration among multiple process data collection ...
data exchange between the supply chain entities and foster new forms of collaboration. ...
Further funding was obtained from the Project "NORTE-01-0145-FEDER-000020 (TEC4Growth -Pervasive Intelligence, Enhancers and Proofs of Concept with Industrial Impact)", financed by the North Portugal Regional ...
doi:10.1007/s00267-018-1095-5
pmid:30128584
fatcat:2t5ogdvw2bc5loi3zwwgly2ure
Advancing urban energy system planning and modeling approaches: Gaps and solutions in perspective
2021
Renewable & Sustainable Energy Reviews
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It provides a pragmatic, comprehensive overview of technical, methodological, and institutional gaps and solutions amongst urban energy system modeling tools and methods. ...
for transparency, reproducibility, and uncertainty analyses in energy modeling. ...
Acknowledgements The Urban Energy Systems Laboratory (UESL) at Empa gratefully acknowledges the International Renewable Energy Agency (IRENA) for supporting this work and providing valuable feedback during ...
doi:10.1016/j.rser.2020.110607
fatcat:4oci2zmwdndirmozkelkgqpzka
Big Data Management: What to Keep from the Past to Face Future Challenges?
2017
Data Science and Engineering
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It is no longer pertinent to reason with respect to a predefined set of resources (i.e., computing, storage and main memory). ...
These functions, must respect QoS properties (e.g., security, reliability, fault tolerance, dynamic evolution and adaptability) and behavior properties (e.g., transactional execution) according to application ...
A programmer defines a model (e.g., an optimizer, a data model, or a transaction model), which is given as input to a generator. ...
doi:10.1007/s41019-017-0043-3
fatcat:ce5uchapafa5pbxrgeryb7jfii
Hydro-economic models: Concepts, design, applications, and future prospects
2009
Journal of Hydrology
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Hydro-economic models represent spatially distributed water resource systems, infrastructure, management options and economic values in an integrated manner. ...
We identify the key steps in model design and diverse problems, formulations, levels of integration, spatial and temporal scales, and solution techniques addressed and used by over 80 hydro-economic modeling ...
They provide a blue print for collaboration and adaptability that can help move transboundary conflict towards collaboration (Fisher et al., 2005) . ...
doi:10.1016/j.jhydrol.2009.06.037
fatcat:u4vkn377ejf2xfozdeg5k2bpsy
Sixth Edition of the IEEE JSAC Series on Network Softwarization and Enablers
2020
IEEE Journal on Selected Areas in Communications
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In the second article, the authors propose a concept of Spatial-Temporal Collaborative Sampling (STCS) based on time-staggered sampling in the flow-aware SDNs, and investigate the spatial-temporal effects ...
This trend keeps attracting operators, content providers, and stakeholders to invest in enabling technologies, such as Network Function Virtualization (NFV) and Software Defined Networking (SDN). ...
doi:10.1109/jsac.2020.2986666
fatcat:qb663wjtefgszh4ydmogkri3ui
Deciphering tissue morphodynamics using bioimage informatics
2017
Philosophical Transactions of the Royal Society of London. Biological Sciences
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process massive multi-dimensional datasets, together with the progressively systematic release of computer codes through open collaborative software platforms [9] . ...
In some instances, this optimization process may additionally benefit from re-thinking the sample preparation itself, ensuring that the acquisition and analysis are well adapted to the biological question ...
doi:10.1098/rstb.2015.0512
pmid:28348249
pmcid:PMC5379021
fatcat:cuy735thevfchbqbvttl3pzyjy
Edge on Wheels with OMNIBUS Networking in 6G Technology
2020
IEEE Access
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They add a spatial component to the temporal sequential process, which may be termed as "Cartesian" machine learning. ...
Our architecture supports an excessive mobility map in developing predictive algorithms to optimally distribute computing and storage resources among cars. ...
doi:10.1109/access.2020.3038233
fatcat:iapvre5oknb6blnpd7sx3ka2cq
2019 Index IEEE Transactions on Knowledge and Data Engineering Vol. 31
2020
IEEE Transactions on Knowledge and Data Engineering
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Wang, X., +, TKDE Dec. 2019 2292-2303
Collaboration
l-Injection: Toward Effective Collaborative Filtering Using Uninteresting
Items. ...
., +, TKDE Oct. 2019 1898-1911 Declarative Parameterizations of User-Defined Functions for Large-Scale Machine Learning and Optimization. ...
doi:10.1109/tkde.2019.2953412
fatcat:jkmpnsjcf5a3bhhf4ian66mj5y
Design Principles for the Future Internet Architecture
[chapter]
2012
Lecture Notes in Computer Science
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the services combining network, computing, and storage. ...
We define architecture the set of functions, states, and objects/information together with their behavior, structure, composition, relationships and spatio-temporal distribution. ...
author(s) and source are credited. ...
doi:10.1007/978-3-642-30241-1_6
fatcat:bzqulpmdgbekpcbodsp674s764
Discovering geographic knowledge in data rich environments
2000
SIGKDD Explorations
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Traditional spatial statistical and spatial analytical methods were developed in an era when data collection was expensive and computational power was weak. ...
The increasing volume and diverse nature of digital geographic data easily overwhelm mainstream spatial analysis techniques that are oriented towards teasing scarce information from small and homogenous ...
The Co-leaders and Steering Committee for the GKD workshop that reflected these diverse stakeholders: ...
doi:10.1145/846183.846208
fatcat:tnjb5v2ecfczlhk6bxstxdgcxy
Towards Circular Economy Through Industrial Symbiosis in the Dutch Construction Industry: A Case of Recycled Concrete Aggregates
2021
Journal of Cleaner Production
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It is found that the IS exists in the construction industry but only in an implicit manner because the RCA treatment requires the collaboration of multiple actors across substantial temporal and spatial ...
The study enriches the IS taxonomy by defining Implicit IS and provides instruments to support the decision-making of business collaborations and policy-making for a circular construction industry. ...
Acknowledgements The authors wish to acknowledge the significant and generous contributions made to this article by journal editors/reviewers, and by local participating experts: Mr. ...
doi:10.1016/j.jclepro.2021.126083
fatcat:vmadmvcdwvhh7pnbonyxlpeuie
Identification of new forecasting products
2021
Zenodo
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Forecasting of renewable energy generation is a mature R&D area, also with a lot of operational experience and commercial offering. ...
We also look at new views coming from the R&D side, with the aim to introduce new forecast products and show their interest for forecast users. ...
The forecast skill maps proposed in the FP7 EU project SafeWind (2008-2012) can be adapted to provide useful information for storage investment planning, such as spatial and/or temporal dependency of forecast ...
doi:10.5281/zenodo.5836716
fatcat:4bspwlyipvfmzksfkx6cvpapfu
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