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AI Applications to Power Systems
| AI Applications to Power Systems |
| Autore | Tjing Lie Tek |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (156 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
self-healing grid
machine-learning feature extraction event detection optimization techniques manta ray foraging optimization algorithm multi-objective function radial networks optimal power flow automatic P2P energy trading Markov decision process deep reinforcement learning deep Q-network long short-term delayed reward inter-area oscillations modal analysis reduced order modeling dynamic mode decomposition machine learning artificial neural networks steady-state security assessment situation awareness cellular computational networks load flow prediction contingency fuzzy system change detection data analytics data mining filtering optimization power quality signal processing total variation smoothing |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566478903321 |
Tjing Lie Tek
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Situation Awareness for Smart Distribution Systems
| Situation Awareness for Smart Distribution Systems |
| Autore | Ge Leijiao |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (214 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
community integrated energy system
energy management user dominated demand side response conditional value-at-risk electric heating load forecasting thermal comfort attention mechanism LSTM neural network smart distribution network situation awareness high-quality operation and maintenance critical technology comprehensive framework distributionally robust optimization (DRO) integrated energy system (IES) joint chance constraints linear decision rules (LDRs) Wasserstein distance load disaggregation denoising auto-encoder REDD dataset TraceBase dataset machine learning secondary equipment CNN short text classification electric vehicle short-term load forecasting convolutional neural network temporal convolutional network climate factors correlation analysis sustainable wind-PV-hydrogen-storage microgrid power-to-hydrogen receding horizon optimization storage photovoltaic (PV) system DC series arc fault power spectrum estimation attentional mechanism lightweight convolutional neural network capacity configuration wind-photovoltaic-thermal power system carbon emission multi-objective optimization inertia security region |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580204303321 |
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Ge Leijiao
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Situationsverstehen für die Risikobeurteilung bei der Mensch-Roboter-Kooperation
| Situationsverstehen für die Risikobeurteilung bei der Mensch-Roboter-Kooperation |
| Autore | Puls Stephan |
| Pubbl/distr/stampa | KIT Scientific Publishing, 2014 |
| Descrizione fisica | 1 electronic resource (XII, 169 p. p.) |
| Soggetto non controllato |
image processing
Maschinelles Lernen Bildverarbeitung semantic analysis Semantische Analyse Situationsverstehen machine learning situation awareness Robotik Robotics |
| ISBN | 1000044584 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Record Nr. | UNINA-9910347047103321 |
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Puls Stephan
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| KIT Scientific Publishing, 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Wissensbasierte probabilistische Modellierung für die Situationsanalyse am Beispiel der maritimen Überwachung
| Wissensbasierte probabilistische Modellierung für die Situationsanalyse am Beispiel der maritimen Überwachung |
| Autore | Fischer Yvonne |
| Pubbl/distr/stampa | KIT Scientific Publishing, 2016 |
| Descrizione fisica | 1 electronic resource (XVI, 217 p. p.) |
| Collana | Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe |
| Soggetto non controllato |
data fusion
dynamic Bayesian networks SituationsbewusstseinSituation assessment maritime surveillance maritime Überwachung Situationsanalyse Datenfusion situation awareness dynamische Bayes’sche Netze |
| ISBN | 1000051065 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Record Nr. | UNINA-9910346775403321 |
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Fischer Yvonne
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| KIT Scientific Publishing, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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