Data-Intensive Computing in Smart Microgrids |
Autore | Herodotou Herodotos |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (238 p.) |
Soggetto topico | Technology: general issues |
Soggetto non controllato |
electricity load forecasting
smart grid feature selection Extreme Learning Machine Genetic Algorithm Support Vector Machine Grid Search AMI TL SG NB-PLC fog computing green community resource allocation processing time response time green data center microgrid renewable energy energy trade contract real time power management load forecasting optimization techniques deep learning big data analytics electricity theft detection smart grids electricity consumption electricity thefts smart meter imbalanced data data-intensive smart application cloud computing real-time systems multi-objective energy optimization renewable energy sources wind photovoltaic demand response programs energy management battery energy storage systems demand response scheduling automatic generation control single/multi-area power system intelligent control methods virtual inertial control soft computing control methods |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557603203321 |
Herodotou Herodotos | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Novel Biomarkers for Heart Disease |
Autore | Lichtenauer Michael |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (420 p.) |
Soggetto topico | Medicine |
Soggetto non controllato |
diet quality
ceramides obesity cardiovascular risk healthy eating index carbohydrate antigen-125 heart failure inflammatory marker older women biomarker cardiometabolic disease epicardial adipose tissue epicardial fat epicardial fat volume microRNA thyroid-stimulating hormone cardiometabolic risks metabolic syndrome hypertension very low-density lipoprotein STIM1 SOCE atrial myopathy atrial fibrillation ejection fraction soluble urokinase-type plasminogen activator receptor (suPAR) growth differentiation factor 15 (GDF-15) heart-type fatty acid-binding protein (H-FABP) soluble suppression of tumorigenicity 2 (sST2) acute myocardial infarction biomarkers catestatin coronary artery disease heart failure decompensation left ventricular ejection fraction troponin NT-proBNP NYHA functional class GDF-15 cardiovascular surgery operative risk muscle wasting sarcopenia renal dysfunction chronic kidney disease aortic disease aneurysm miRNA TGF-β pathway KLF4 synthetic phenotype aortic regurgitation echocardiography magnetic resonance imaging vena contracta area longitudinal strain T1 mapping GDF8 myostatin AMI ceruloplasmin H-FABP heart-type fatty acid-binding protein FABP3 fatty acid-binding protein 3 HF cardiac biomarkers cardiac magnetic resonance imaging left ventricular systolic function magnetic resonance spectroscopy myocardial triglyceride content cell adhesion molecule repeated measurements pregnancy-associated plasma protein-A cohort studies cardiovascular diseases mitochondrial dysfunction circulating cells PBMCS platelets oxidative stress reactive oxygen species (ROS) mitochondrial DNA (mtDNA) herat failure liver-type fatty-acid-binding protein long-term outcomes cardiac intensive care units acute kidney injury myocardial infarction STEMI cardiovascular events cardiovascular death risk stratification sST2 Pentraxin-3 sudden cardiac death ventricular arrhythmia ventricular tachycardia chronic heart failure saliva salivary biomarkers CKD CVD PPCI left ventricular adverse remodelling circulating miRNAs NAFLD Framingham risk score risk prediction secondary prevention primary prevention NAFLD fibrosis score HFpEF HFrEF suPAR |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557546203321 |
Lichtenauer Michael | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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