The Experts below are selected from a list of 85224 Experts worldwide ranked by ideXlab platform
Janet M. Thornton - One of the best experts on this subject based on the ideXlab platform.
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elixir a Distributed Infrastructure for european biological data
Trends in Biotechnology, 2012Co-Authors: Lindsey C Crosswell, Janet M. ThorntonAbstract:The most successful collaborative projects in the scientific panoply are those that provide solutions to problems shared by many worldwide. The ELIXIR project is one such example, its aim being to ensure that European countries are able to respond to the set of grand challenges that they all face. ELIXIR has as its stated mission ‘the construction and operation of a sustainable Infrastructure for biological information in Europe to support life science research and its translation to medicine and the environment, the bio-industries and society’.
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elixir a Distributed Infrastructure for european biological data
Trends in Biotechnology, 2012Co-Authors: Lindsey C Crosswell, Janet M. ThorntonAbstract:The most successful collaborative projects in the scientific panoply are those that provide solutions to problems shared by many worldwide. The ELIXIR project is one such example, its aim being to ensure that European countries are able to respond to the set of grand challenges that they all face. ELIXIR has as its stated mission ‘the construction and operation of a sustainable Infrastructure for biological information in Europe to support life science research and its translation to medicine and the environment, the bio-industries and society’.
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Annotations for all by all - the BioSapiens network
Genome biology, 2009Co-Authors: Janet M. ThorntonAbstract:The BioSapiens network has developed a Distributed Infrastructure for genome and proteome annotation by laboratories anywhere in the world.
Andrea Acquaviva - One of the best experts on this subject based on the ideXlab platform.
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SMARTGREENS - Distributed Infrastructure for Multi-Energy-Systems Modelling and Co-simulation in Urban Districts
Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems, 2018Co-Authors: Lorenzo Bottaccioli, Enrico Macii, Edoardo Patti, Andrea AcquavivaAbstract:In recent years, many governments are promoting a widespread deployment of Renewable Energy Sources (RES) together with an optimization of energy consumption. The main purpose consists on decarbonizing the energy production and reducing the CO2 footprints. However, RES imply uncertain energy production. To foster this transition, we need novel tools to model and simulate Multi-Energy-Systems combining together different technologies and analysing heterogeneous information, often in (near-) real-time. In this paper, first we present the main challenges identified after a literature review and the motivation that drove this research in developing MESsi. Then, we propose MESsi, a novel Distributed Infrastructure for modelling and cosimulating Multi-Energy-Systems. This Infrastructure is a framework suitable for general purpose energy simulations in cities. Finally, we introduce possible simulation scenarios that have different spatio-temporal resolutions. Space resolution ranges from the single dwelling up to districts and cities. Whilst, time resolution ranges from microseconds, to simulate the operational status of distribution networks, up to years, for planning and refurbishment activities
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PVInGrid: A Distributed Infrastructure for Evaluating the Integration of Photovoltaic Systems in Smart Grid
2017Co-Authors: Lorenzo Bottaccioli, Abouzar Estebsari, Enrico Macii, Enrico Pons, Edoardo Patti, Andrea AcquavivaAbstract:Planning and developing the future Smart City is becoming mandatory due to the need of moving forward to a more sustainable society. To foster this transition an accurate simulation of energy production from renewable sources, such as Photovoltaic Panels (PV), is necessary to evaluate the impact on the grid. In this paper, we present a Distributed Infrastructure that simulates the PV production and evaluates the integration of such systems in the grid considering data provided by smart-meters. The proposed solution is able to model the behaviour of PV systems solution exploiting GIS representation of rooftops and real meteorological data. Finally, such information is used to feed a real-time distribution network simulator.
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DoCEIS - PVInGrid: A Distributed Infrastructure for Evaluating the Integration of Photovoltaic Systems in Smart Grid
IFIP Advances in Information and Communication Technology, 2017Co-Authors: Lorenzo Bottaccioli, Abouzar Estebsari, Enrico Macii, Enrico Pons, Edoardo Patti, Andrea AcquavivaAbstract:Planning and developing the future Smart City is becoming mandatory due to the need of moving forward to a more sustainable society. To foster this transition an accurate simulation of energy production from renewable sources, such as Photovoltaic Panels (PV), is necessary to evaluate the impact on the grid. In this paper, we present a Distributed Infrastructure that simulates the PV production and evaluates the integration of such systems in the grid considering data provided by smart-meters. The proposed solution is able to model the behaviour of PV systems solution exploiting GIS representation of rooftops and real meteorological data. Finally, such information is used to feed a real-time distribution network simulator.
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A Flexible Distributed Infrastructure for Real-Time Cosimulations in Smart Grids
IEEE Transactions on Industrial Informatics, 2017Co-Authors: Lorenzo Bottaccioli, Abouzar Estebsari, Ettore Bompard, Enrico Macii, Enrico Pons, Edoardo Patti, Andrea AcquavivaAbstract:Due to the increasing penetration of Distributed generation, storage, electric vehicles, and new information communication technologies, distribution networks are evolving toward the smart grid paradigm. For this reason, new control strategies, algorithms, and technologies need to be tested and validated before their actual field implementation. In this paper, we present a novel modular Distributed Infrastructure, based on real-time simulation, for multipurpose smart grid studies. The different components of the Infrastructure are described, and the system is applied to a case study based on a real urban district located in northern Italy. The presented Infrastructure is shown to be flexible and useful for different and multidisciplinary smart grid studies.
Lorenzo Bottaccioli - One of the best experts on this subject based on the ideXlab platform.
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SMARTGREENS - Distributed Infrastructure for Multi-Energy-Systems Modelling and Co-simulation in Urban Districts
Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems, 2018Co-Authors: Lorenzo Bottaccioli, Enrico Macii, Edoardo Patti, Andrea AcquavivaAbstract:In recent years, many governments are promoting a widespread deployment of Renewable Energy Sources (RES) together with an optimization of energy consumption. The main purpose consists on decarbonizing the energy production and reducing the CO2 footprints. However, RES imply uncertain energy production. To foster this transition, we need novel tools to model and simulate Multi-Energy-Systems combining together different technologies and analysing heterogeneous information, often in (near-) real-time. In this paper, first we present the main challenges identified after a literature review and the motivation that drove this research in developing MESsi. Then, we propose MESsi, a novel Distributed Infrastructure for modelling and cosimulating Multi-Energy-Systems. This Infrastructure is a framework suitable for general purpose energy simulations in cities. Finally, we introduce possible simulation scenarios that have different spatio-temporal resolutions. Space resolution ranges from the single dwelling up to districts and cities. Whilst, time resolution ranges from microseconds, to simulate the operational status of distribution networks, up to years, for planning and refurbishment activities
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PVInGrid: A Distributed Infrastructure for Evaluating the Integration of Photovoltaic Systems in Smart Grid
2017Co-Authors: Lorenzo Bottaccioli, Abouzar Estebsari, Enrico Macii, Enrico Pons, Edoardo Patti, Andrea AcquavivaAbstract:Planning and developing the future Smart City is becoming mandatory due to the need of moving forward to a more sustainable society. To foster this transition an accurate simulation of energy production from renewable sources, such as Photovoltaic Panels (PV), is necessary to evaluate the impact on the grid. In this paper, we present a Distributed Infrastructure that simulates the PV production and evaluates the integration of such systems in the grid considering data provided by smart-meters. The proposed solution is able to model the behaviour of PV systems solution exploiting GIS representation of rooftops and real meteorological data. Finally, such information is used to feed a real-time distribution network simulator.
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DoCEIS - PVInGrid: A Distributed Infrastructure for Evaluating the Integration of Photovoltaic Systems in Smart Grid
IFIP Advances in Information and Communication Technology, 2017Co-Authors: Lorenzo Bottaccioli, Abouzar Estebsari, Enrico Macii, Enrico Pons, Edoardo Patti, Andrea AcquavivaAbstract:Planning and developing the future Smart City is becoming mandatory due to the need of moving forward to a more sustainable society. To foster this transition an accurate simulation of energy production from renewable sources, such as Photovoltaic Panels (PV), is necessary to evaluate the impact on the grid. In this paper, we present a Distributed Infrastructure that simulates the PV production and evaluates the integration of such systems in the grid considering data provided by smart-meters. The proposed solution is able to model the behaviour of PV systems solution exploiting GIS representation of rooftops and real meteorological data. Finally, such information is used to feed a real-time distribution network simulator.
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A Flexible Distributed Infrastructure for Real-Time Cosimulations in Smart Grids
IEEE Transactions on Industrial Informatics, 2017Co-Authors: Lorenzo Bottaccioli, Abouzar Estebsari, Ettore Bompard, Enrico Macii, Enrico Pons, Edoardo Patti, Andrea AcquavivaAbstract:Due to the increasing penetration of Distributed generation, storage, electric vehicles, and new information communication technologies, distribution networks are evolving toward the smart grid paradigm. For this reason, new control strategies, algorithms, and technologies need to be tested and validated before their actual field implementation. In this paper, we present a novel modular Distributed Infrastructure, based on real-time simulation, for multipurpose smart grid studies. The different components of the Infrastructure are described, and the system is applied to a case study based on a real urban district located in northern Italy. The presented Infrastructure is shown to be flexible and useful for different and multidisciplinary smart grid studies.
Alex Delis - One of the best experts on this subject based on the ideXlab platform.
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A Distributed Infrastructure for Earth-Science Big Data Retrieval
International Journal of Cooperative Information Systems, 2015Co-Authors: Panagiotis Liakos, Panagiota Koltsida, George Kakaletris, Peter Baumann, Yannis Ioannidis, Alex DelisAbstract:Earth-Science data are composite, multi-dimensional and of significant size, and as such, continue to pose a number of ongoing problems regarding their management. With new and diverse information sources emerging as well as rates of generated data continuously increasing, a persistent challenge becomes more pressing: To make the information existing in multiple heterogeneous resources readily available. The widespread use of the XML data-exchange format has enabled the rapid accumulation of semi-structured metadata for Earth-Science data. In this paper, we exploit this popular use of XML and present the means for querying metadata emanating from multiple sources in a succinct and effective way. Thereby, we release the user from the very tedious and time consuming task of examining individual XML descriptions one by one. Our approach, termed Meta-Array Data Search (MAD Search), brings together diverse data sources while enhancing the user-friendliness of the underlying information sources. We gather metad...
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A Distributed Infrastructure for Earth-Science Big Data Retrieval
International Journal of Cooperative Information Systems, 2015Co-Authors: Panagiotis Liakos, Panagiota Koltsida, George Kakaletris, Peter Baumann, Yannis Ioannidis, Alex DelisAbstract:Earth-Science data are composite, multi-dimensional and of significant size, and as such, continue to pose a number of ongoing problems regarding their management. With new and diverse information sources emerging as well as rates of generated data continuously increasing, a persistent challenge becomes more pressing: To make the information existing in multiple heterogeneous resources readily available. The widespread use of the XML data-exchange format has enabled the rapid accumulation of semi-structured metadata for Earth-Science data. In this paper, we exploit this popular use of XML and present the means for querying metadata emanating from multiple sources in a succinct and effective way. Thereby, we release the user from the very tedious and time consuming task of examining individual XML descriptions one by one. Our approach, termed Meta-Array Data Search (MAD Search), brings together diverse data sources while enhancing the user-friendliness of the underlying information sources. We gather metadata using different standards and construct an amalgamated service with the help of tools that discover and harvest such metadata; this service facilitates the end-user by offering easy and timely access to all metadata. The main contribution of our work is a novel query language termed xWCPS, that builds on top of two widely-adopted standards: XQuery and the Web Coverage Processing Service (WCPS). xWCPS furnishes a rich set of features regarding the way scientific data can be queried with. Our proposed unified language allows for requesting metadata while also giving processing directives. Consequently, the xWCPS-enabled MAD Search helps in both retrieval and processing of large data sets hosted in an heterogeneous Infrastructure. We demonstrate the effectiveness of our approach through diverse use-cases that provide insights into the syntactic power and overall expressiveness of xWCPS. We evaluate MAD Search in a Distributed environment that comprises five high-volume array-databases whose sizes range between 20 and 100 GB and so, we ascertain the applicability and potential of our proposal.
Henry V. Burton - One of the best experts on this subject based on the ideXlab platform.
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Risk-based assessment of the post-earthquake functional disruption and restoration of Distributed Infrastructure systems
International Journal of Disaster Risk Reduction, 2021Co-Authors: Agam Tomar, Henry V. BurtonAbstract:Abstract A risk-based framework for assessing the post-earthquake functional loss and restoration of Distributed Infrastructure systems is presented. Using an appropriate seismic source model, a stochastic earthquake catalogue is generated for the target region. For each event in the catalogue, the joint distribution of shaking and component-level damage maps are produced. Process-based discrete event simulation is coupled with an appropriate method for linking physical damage to functional impacts to model the restoration for each damage map. By considering all possible events that are impactful to the target region and their associated rates of occurrence, the full probability distribution of the functional recovery trajectory of the system is obtained. Dispersion disaggregation is used to isolate the individual contribution of each random variable to the uncertainty bounds in the restoration trajectory. A case study involving the city of Napa's water system is used to demonstrate how the framework can support resilience-based risk-informed decision-making for Distributed Infrastructure.