Search results for "Forecast method"

showing 3 items of 3 documents

PREVISION JOURNALIERE DES POLLENS SUR LE TERRITOIRE NATIONAL FRANÇAIS, AVEC UN OBJECTIF D'INFORMATION SANITAIRE DES POPULATIONS ALLERGIQUES

2008

At present, 16% of French people suffer from allergies to one or several pollens. The corresponding symptoms can be presented as under benign form (rhinitis, conjunctivitis, cough) as under much more serious form : asthma. Forecast of the starting date of an allergic exposure risk to pollens is necessary from a sanitary and preventive standpoint. Forecast has to be more precisely as possible in order to begin anti-allergic treatments at appropriate moment, with a view of effectiveness and reduction of the costs due to this disease. The present study, taking place in all the French territory, concerns four pollen taxa among the most allergenic : ash, birch, grasses and ragweed. This work com…

AérobiologieSantéPréventionAllergy[SHS.GEO] Humanities and Social Sciences/GeographyExposure riskAerobiology[SHS.GEO]Humanities and Social Sciences/GeographyConditions météorologiquesRisque d'exposition[ SHS.GEO ] Humanities and Social Sciences/GeographyAllergieForecast methodsHealthMeteorological conditionsPollenMéthodes de prévision
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Building energy performance forecasting: A multiple linear regression approach

2019

Abstract Different ways to evaluate the building energy balance can be found in literature, including comprehensive techniques, statistical and machine-learning methods and hybrid approaches. The identification of the most suitable approach is important to accelerate the preliminary energy assessment. In the first category, several numerical methods have been developed and implemented in specialised software using different mathematical languages. However, these tools require an expert user and a model calibration. The authors, in order to overcome these limitations, have developed an alternative, reliable linear regression model to determine building energy needs. Starting from a detailed …

Decision support systemComputer scienceCalibration (statistics)020209 energy02 engineering and technologyManagement Monitoring Policy and LawBuilding energy demandsymbols.namesake020401 chemical engineeringLinear regression0202 electrical engineering electronic engineering information engineeringSensitivity (control systems)0204 chemical engineeringReliability (statistics)Multiple linear regressionSettore ING-IND/11 - Fisica Tecnica AmbientaleMechanical EngineeringBuilding and ConstructionIndustrial engineeringPearson product-moment correlation coefficientDynamic simulationIdentification (information)Black box methodGeneral EnergysymbolsForecast methodSensitivity analysisDynamic simulation
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An intelligent way to predict the building thermal needs: ANNs and optimization

2022

The evaluation of the energy performance of existing or new buildings is a fundamental action to guarantee the feasibility of a project and the achievement of the minimum efficiency requirements. In general, the determination of the thermal loads of a building is carried out via software but their use requires adequate knowledge of physical phenomena and therefore the presence of an expert user. Furthermore, the resolution can be difficult to implement and can require high computational costs; all conditions that can influence the success of a project. Based on these considerations, this work proposes an alternative solution to traditional calculation tools, which in a simple and effective …

Settore ING-IND/11 - Fisica Tecnica AmbientaleArtificial IntelligenceGeneral EngineeringArtificial Neural Network Thermal energy demand Forecast method Sensitivity analysis Statistical error analysisComputer Science ApplicationsExpert Systems with Applications
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