. "4"^^ . . "Z\u00E1kladn\u00EDm p\u0159edpokladem pro hospod\u00E1rn\u00E9 provozov\u00E1n\u00ED budov je funk\u010Dn\u00ED monitorov\u00E1n\u00ED spot\u0159eb a porozum\u011Bn\u00ED z\u00EDskan\u00FDm dat\u016Fm. Vhodn\u00E1 interpretace m\u011B\u0159en\u00FDch spot\u0159eb m\u016F\u017Ee mnoho prozradit o zp\u016Fsobu provozov\u00E1n\u00ED budovy, o efektu proveden\u00FDch opat\u0159en\u00ED (zateplen\u00ED, v\u00FDm\u011Bna oken, ...) p\u0159\u00EDpadn\u011B m\u016F\u017Ee i odhalit chyby v technick\u00E9m zabezpe\u010Den\u00ED budovy (TZB). V \u010Dl\u00E1nku je zam\u011B\u0159ena pozornost na monitorov\u00E1n\u00ED spot\u0159eby elektrick\u00E9 energie. Na z\u00E1klad\u011B dostupn\u00FDch m\u011B\u0159en\u00ED je vytvo\u0159en matematick\u00FD model, kter\u00FD je n\u00E1sledn\u011B vyu\u017Eit k porovn\u00E1n\u00ED m\u011B\u0159en\u00FDch a p\u0159edpov\u00EDdan\u00FDch spot\u0159eb. Jsou porovn\u00E1ny \u010Dty\u0159i r\u016Fzn\u00E9 p\u0159\u00EDstupy k modelov\u00E1n\u00ED spot\u0159eby, konkr\u00E9tn\u011B je diskutov\u00E1no pou\u017Eit\u00ED polynomi\u00E1ln\u00EDch model\u016F, neuronov\u00FDch s\u00EDt\u00ED, support vector machines (SVM) a autoregresn\u00EDch model\u016F. V\u0161echny metody byly ov\u011B\u0159eny s vyu\u017Eit\u00EDm dat ze dvou rozd\u00EDln\u00FDch objekt\u016F: obchodn\u00ED centrum a univerzitn\u00ED budova."@cs . . "978-80-260-7209-6" . . "Fabi\u00E1n, Jan" . . . "P(ED3.1.00/13.0283)" . "29975" . . "IBPSA-CZ" . . . "Simulace budov a techniky prost\u0159ed\u00ED 2014 - sborn\u00EDk 8. konference IBPSA-CZ" . . "Modelov\u00E1n\u00ED spot\u0159eb energi\u00ED budov"@cs . . . . "Building Energy Consumption Modeling"@en . . "[8947924FC0B7]" . "RIV/68407700:21720/14:00221959" . "Building Energy Consumption Modeling"@en . "2014-11-06+01:00"^^ . "Modelov\u00E1n\u00ED spot\u0159eb energi\u00ED budov" . "\u0160irok\u00FD, Jan" . . "Building energy consumption; Polynomial models; Neural networks; Autoregressive models"@en . "2"^^ . . "Modelov\u00E1n\u00ED spot\u0159eb energi\u00ED budov" . . . "RIV/68407700:21720/14:00221959!RIV15-MSM-21720___" . "Praha" . "Praha" . "The basic prerequisite for effective operation of buildings is functional monitoring of consumptions and correct understanding of the obtained data. The appropriate interpretation of measured consumptions can reveal a lot about building operation manners, about effect of undertaken measures (insulation, window replacement,...) and possibly also reveal deficiencies in the heating, ventilation and air-conditioning (HVAC) systems. The paper is aimed to the monitoring of electrical energy consumption. Mathematical model was created on the basis of available measurements and consequently used to compare measured and predicted consumptions. Four different approaches towards energy consumption modeling are compared, namely we discuss the use of polynomial models, neural networks, support vector machines (SVM) and autoregressive models. All the methods were verified using data from two different premises: a shopping center and a university building."@en . "Z\u00E1kladn\u00EDm p\u0159edpokladem pro hospod\u00E1rn\u00E9 provozov\u00E1n\u00ED budov je funk\u010Dn\u00ED monitorov\u00E1n\u00ED spot\u0159eb a porozum\u011Bn\u00ED z\u00EDskan\u00FDm dat\u016Fm. Vhodn\u00E1 interpretace m\u011B\u0159en\u00FDch spot\u0159eb m\u016F\u017Ee mnoho prozradit o zp\u016Fsobu provozov\u00E1n\u00ED budovy, o efektu proveden\u00FDch opat\u0159en\u00ED (zateplen\u00ED, v\u00FDm\u011Bna oken, ...) p\u0159\u00EDpadn\u011B m\u016F\u017Ee i odhalit chyby v technick\u00E9m zabezpe\u010Den\u00ED budovy (TZB). V \u010Dl\u00E1nku je zam\u011B\u0159ena pozornost na monitorov\u00E1n\u00ED spot\u0159eby elektrick\u00E9 energie. Na z\u00E1klad\u011B dostupn\u00FDch m\u011B\u0159en\u00ED je vytvo\u0159en matematick\u00FD model, kter\u00FD je n\u00E1sledn\u011B vyu\u017Eit k porovn\u00E1n\u00ED m\u011B\u0159en\u00FDch a p\u0159edpov\u00EDdan\u00FDch spot\u0159eb. Jsou porovn\u00E1ny \u010Dty\u0159i r\u016Fzn\u00E9 p\u0159\u00EDstupy k modelov\u00E1n\u00ED spot\u0159eby, konkr\u00E9tn\u011B je diskutov\u00E1no pou\u017Eit\u00ED polynomi\u00E1ln\u00EDch model\u016F, neuronov\u00FDch s\u00EDt\u00ED, support vector machines (SVM) a autoregresn\u00EDch model\u016F. V\u0161echny metody byly ov\u011B\u0159eny s vyu\u017Eit\u00EDm dat ze dvou rozd\u00EDln\u00FDch objekt\u016F: obchodn\u00ED centrum a univerzitn\u00ED budova." . "21720" . "2"^^ . "Modelov\u00E1n\u00ED spot\u0159eb energi\u00ED budov"@cs .