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pro vyhledávání: '"Gormally, Robert"'
The transition away from carbon-based energy sources poses several challenges for the operation of electricity distribution systems. Increasing shares of distributed energy resources (e.g. renewable energy generators, electric vehicles) and internet-
Externí odkaz:
http://arxiv.org/abs/2103.07248
Publikováno v:
Workshop AI for Internet of Things, IJCAI 2019
IBM Research Castor, a cloud-native system for managing and deploying large numbers of AI time-series models in IoT applications, is described. Modelling code templates, in Python and R, following a typical machine-learning workflow are supported. A
Externí odkaz:
http://arxiv.org/abs/2003.12141
We demonstrate progress on the deployment of two sets of technologies to support distribution grid operators integrating high shares of renewable energy sources, based on a market for trading local energy flexibilities. An artificial-intelligence (AI
Externí odkaz:
http://arxiv.org/abs/1909.10870
Autor:
Chen, Bei, Eck, Bradley, Fusco, Francesco, Gormally, Robert, Purcell, Mark, Sinn, Mathieu, Tirupathi, Seshu
We demonstrate Castor, a cloud-based system for contextual IoT time series data and model management at scale. Castor is designed to assist Data Scientists in (a) exploring and retrieving all relevant time series and contextual information that is re
Externí odkaz:
http://arxiv.org/abs/1811.08566
The increasing complexity of the power grid, due to higher penetration of distributed resources and the growing availability of interconnected, distributed metering devices re- quires novel tools for providing a unified and consistent view of the sys
Externí odkaz:
http://arxiv.org/abs/1705.08815
Autor:
Neupane, Bijay, Siksnys, Laurynas, Pedersen, Torben Bach, Jensen, Rikke Hagensby, Aftab, Muhammad, Eck, Bradley, Fusco, Francesco, Gormally, Robert, Purcell, Mark, Tirupathi, Seshu, Cerne, Gregor, Brus, Saso, Papageorgiou, Ioannis, Meindl, Gerhard, Roduit, Pierre
Publikováno v:
Neupane, B, Siksnys, L, Pedersen, T B, Jensen, R H, Aftab, M, Eck, B, Fusco, F, Gormally, R, Purcell, M, Tirupathi, S, Cerne, G, Brus, S, Papageorgiou, I, Meindl, G & Roduit, P 2022, GOFLEX: extracting, aggregating and trading flexibility based on FlexOffers for 500+ prosumers in 3 European cities [operational systems paper] . in e-Energy 2022-Proceedings of the 2022 13th ACM International Conference on Future Energy Systems . Association for Computing Machinery, pp. 361–373, Thirteenth ACM International Conference on Future Energy Systems, 28/06/2022 . https://doi.org/10.1145/3538637.3538865
A demand response scheme that uses direct device control to actively exploit prosumer flexibility has been identified as a key remedy to meet the challenge of increased renewable energy sources integration. Although a number of direct control-based d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a85de0ab9a6763aabd5b0cd7f6f3570
https://doi.org/10.1145/3538637.3538865
https://doi.org/10.1145/3538637.3538865
