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Machine Learning for Energy Systems
| Machine Learning for Energy Systems |
| Autore | Sidorov Denis N |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (272 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
vacuum tank degasser
rule extraction extreme learning machine classification and regression trees wind power: wind speed: T–S fuzzy model: forecasting linearization machine learning photovoltaic output power forecasting hybrid interval forecasting relevance vector machine sample entropy ensemble empirical mode decomposition high permeability renewable energy blockchain technology energy router QoS index of energy flow MOPSO algorithm scheduling optimization Adaptive Neuro-Fuzzy Inference System insulator fault forecast wavelet packets time series forecasting power quality harmonic parameter harmonic responsibility monitoring data without phase angle parameter estimation blockchain energy internet information security forecasting clustering energy systems classification integrated energy system risk assessment component accident set vulnerability hybrid AC/DC power system stochastic optimization renewable energy source Volterra models wind turbine maintenance fatigue power control offshore wind farm Interfacial tension transformer oil parameters harmonic impedance traction network harmonic impedance identification linear regression model data evolution mechanism cast-resin transformers abnormal defects partial discharge pattern recognition hierarchical clustering decision tree industrial mathematics inverse problems intelligent control artificial intelligence energy management system smart microgrid optimization Volterra equations energy storage load leveling cyber-physical systems |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557678803321 |
Sidorov Denis N
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Modeling and Optimal Operation of Hydraulic, Wind and Photovoltaic Power Generation Systems
| Modeling and Optimal Operation of Hydraulic, Wind and Photovoltaic Power Generation Systems |
| Autore | Li Chaoshun |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (212 p.) |
| Soggetto topico |
Research & information: general
Physics |
| Soggetto non controllato |
doubly-fed variable-speed pumped storage
Hopf bifurcation stability analysis parameter sensitivity pumped storage unit degradation trend prediction maximal information coefficient light gradient boosting machine variational mode decomposition gated recurrent unit high proportional renewable power system active power change point detection maximum information coefficient cosine similarity anomaly detection thermal-hydraulic characteristics hydraulic oil viscosity hydraulic PTO wave energy converter pumped storage units pressure pulsation noise reduction sparrow search algorithm hybrid system facility agriculture chaotic particle swarms method operation strategy stochastic dynamic programming (SDP) power yield seasonal price reliability cascaded reservoirs doubly-fed variable speed pumped storage power station nonlinear modeling nonlinear pump turbine characteristics pumped storage units (PSUs) successive start-up ‘S’ characteristics low water head conditions multi-objective optimization fractional order PID controller (FOPID) hydropower units comprehensive deterioration index long and short-term neural network ensemble empirical mode decomposition approximate entropy 1D–3D coupling model transition stability sensitivity analysis hydro power |
| ISBN | 3-0365-5838-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637780603321 |
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Li Chaoshun
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Multiscale Entropy Approaches and Their Applications
| Multiscale Entropy Approaches and Their Applications |
| Autore | Humeau-Heurtier Anne |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (446 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
electrocardiogram
heart rate variability multiscale distribution entropy RR interval short-term inter-beat interval Alzheimer disease functional near infra-red spectroscopy signal complexity clock drawing test digit span test corsi block tapping test structural health monitoring multi-scale composite cross-sample entropy PD fault diagnosis variational mode decomposition multi-scale dispersion entropy HMSVM multiscale entropy embodied media tele-communication humanoid prefrontal cortex human behavior complexity page view sample entropy Wikipedia missing values physiological data medical information postural stability index stability states ensemble empirical mode decomposition gait Multiscale Permutation Entropy ordinal patterns estimator variance Cramér–Rao Lower Bound finite-length signals nonlinear dynamics multiscale indices cardiac risk stratification Holter long term monitoring multifractal spectrum multiscale time irreversibility predictability multiscale analysis entropy rate memory effect financial time series entropy cardiac autonomic neuropathy diabetes mental workload motif multi-scale entropy permutation entropy HRV SVM multivariate multiscale dispersion entropy multivariate time series electroencephalogram magnetoencephalogram CPD EEG sleep staging tensor decomposition preterm neonate bearing fault diagnosis weak fault multi-component signal local robust principal component analysis multi-scale permutation entropy brain complexity dynamic functional connectivity edge complexity fluid intelligence node complexity resting-state functional magnetic resonance imaging aging consolidation default mode network episodic memory fMRI network complexity resting state copula density dependency structures Voronoi decomposition ambient temperature telemetry systolic blood pressure pulse interval thermoregulation vasopressin center of pressure falls postural control cross-entropy multiscale cross-entropy asynchrony coupling cross-sample entropy cross-approximate entropy cross-distribution entropy cross-fuzzy entropy cross-conditional entropy eye movement events detection nonlinear analysis time series analysis approximate entropy fuzzy entropy multilevel entropy map time-scale decomposition heart sound ICEEMDAN RCMDE Fisher ratio biometric characterization multi-scale entropy (MSE) vector autoregressive fractionally integrated (VARFI) models heart rate variability (HRV) systolic arterial pressure (SAP) multivariate data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557629003321 |
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Humeau-Heurtier Anne
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Photonic Biosensors: Detection, Analysis and Medical Diagnostics
| Photonic Biosensors: Detection, Analysis and Medical Diagnostics |
| Autore | Conteduca Donato |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (92 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
integrated photonics
microfluidics packaging photonic biosensors optical resonators multiplexed sensing 3D printing wearable laser Doppler flowmetry blood perfusion wavelet analysis smokers biosensors optical cavity-based biosensor biomarker detection noninvasive glucose sensing near-infrared spectroscopy skin tissue reflection spectroscopy calibration modeling science-based calibration (SBC) blood pressure photoplethysmography derivatives of PPG convolutional neural network ensemble empirical mode decomposition bacteria biofilm optoelectronic device antimicrobial resistance biosensing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Photonic Biosensors |
| Record Nr. | UNINA-9910576874803321 |
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Conteduca Donato
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sustainable Energy Systems Planning, Integration and Management
| Sustainable Energy Systems Planning, Integration and Management |
| Autore | Mohammadi-ivatloo Behnam |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (286 p.) |
| Soggetto non controllato |
Romanian coastal environment
neural networks intermittent heating wind velocities time-space network optimal chiller loading (OCL) renewable energy pure electric buses mixed-integer non-linear programming problem (MINLP) control system FANP energy consumption load regulation energy smart box novel method smart logistics system multiple uncertainties non-intrusive load monitoring wind speed forecasting solid waste to energy plant uncertain cooling demand dual robust optimization Black Sea field test and numerical simulation electric power sustainable development multi-type bus operating organization cuckoo search algorithm vehicular emissions SWAN public transport product quality model MCDM TOPSIS heat transfer solar energy forecasting validity information gap decision theory (IGDT) photovoltaic systems configurations of internal wall ensemble empirical mode decomposition agricultural pruning hot summer and cold winter climate zone energy and environmental systems feature extraction information platform pruning biomass smart grid product usability testing meteorological variables fuzzy logic performance evaluation rural residential building threshold value of daily operation hours datacenter wave energy thermal comfort heat storage and release resampling risk aversion environment support vector machine internal coverings numerical models gradient descent renewable biomass energy demand response |
| ISBN | 3-03928-047-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910372783903321 |
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Mohammadi-ivatloo Behnam
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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