Search results for "House"

showing 10 items of 1116 documents

2021

Recent studies on the economic dimensions of sports and physical activity in Germany have revealed that sport-related tourism is one of the important contributors to private household consumption. Due to a lack of representative and large-scale data sets, this topic has never been displayed in detail before. By using computer assisted telephone and web interviews, we collected a total data set of n=19,396 persons living in Germany. The expenditures for active sport tourism were isolated, which is understood as travelling to take part in different sporting activities. Data are provided on the overall spending of German households for sport trips, with skiing (€ 3.4 bn) and scuba diving (€ 2.…

Consumption (economics)GermanlanguageTRIPS architectureDemographic economicsGeneral MedicineBusinessDimension (data warehouse)DestinationsTourismlanguage.human_languageScuba divingTourism marketCurrent Issues in Sport Science (CISS)
researchProduct

On Behavioral Heterogeneity

2006

An index of “behavioral heterogeneity” for every finite population of households is defined. It is shown that the higher the index of behavioral heterogeneity the less sensitive depends the aggregate consumption expenditure ratio upon prices. As a consequence, a high index implies a tendency for the Jacobian of aggregate demand to have a dominant negative diagonal.

Consumption (economics)Labour economicseducation.field_of_studyIndex (economics)Aggregate (data warehouse)PopulationDominant negativeEconomicsEconometricsBehavioral heterogeneityeducationAggregate demand
researchProduct

Forecasting Electricity Consumption and Production in Smart Homes through Statistical Methods

2022

Abstract Over the last years, a steady increase in both domestic electricity consumption and in the adoption of personal clean energy production systems has been observed worldwide. By analyzing energy consumption and production on photovoltaic panels mounted in a house, this work focuses on finding patterns in electrical energy consumption and devising a predictive model. Our goal is to find an accurate method to predict electrical energy consumption and production. Being able to anticipate how consumers will use energy in the near future, homeowners, companies and governments may optimize their behavior and the import and export of electricity. We evaluated the ARIMA and TBATS statistical…

Consumption (economics)Renewable Energy Sustainability and the EnvironmentComputer sciencebusiness.industryTBATSGeography Planning and DevelopmentPhotovoltaic systemElectricity predictionTransportationEnergy consumptionARIMAEnvironmental economicsEnergy management systemSmart housePhotovoltaic panelsWork (electrical)ARIMA; Electricity prediction; Energy management system; Photovoltaic panels; Smart house; TBATSProduction (economics)Autoregressive integrated moving averageElectricityEnergy management systembusinessCivil and Structural EngineeringSustainable Cities and Society
researchProduct

Sustainable production and consumption in remote working conditions due to COVID-19 lockdown in Italy: An environmental and user acceptance investiga…

2021

Abstract In response to the disruptive changes brought upon our society by the COVID-19 pandemic, most work activities and service providers had to resort to remote working. This is credited to reduce emissions for transportation, however the role of forced confinement within dwellings, especially if not designed for hosting working stations, deserves to be properly evaluated in terms of both user acceptance and long-term environmental impact. In this work, a dedicated survey campaign is used for investigating the potential pros and cons of remote working. In more detail, logistic regression and generalized linear models are used for capturing the effect of several independent variables on …

Consumption (economics)Settore ING-IND/11 - Fisica Tecnica AmbientaleEnvironmental EngineeringVariablesRenewable Energy Sustainability and the Environmentmedia_common.quotation_subjectCOVID-19 Environmental impact Life cycle assessment Multi-criteria sustainability Remote working Survey User acceptanceCOVID-19Service providerEnvironmental economicsDiscount pointsIndustrial and Manufacturing EngineeringRemote workingEnvironmental impactMulti-criteria sustainabilityUser acceptanceLife cycle assessmentWork (electrical)Greenhouse gasEnvironmental ChemistryJob satisfactionEnvironmental impact assessmentBusinessSurveymedia_commonSustainable Production and Consumption
researchProduct

Climate change and the building sector: Modelling and energy implications to an office building in southern Europe

2018

Abstract The building sector is one of the most relevant sectors in terms of generation of wealth and occupation, but it is also one of the main contributor to energy use and greenhouse gas emissions (e.g. at the European level it is currently responsible for 36% of CO2 emissions). For these reason this sector must play a key role in achieving a low-carbon economy consistent with the objective of holding the increase of the average temperature of the globe below 2 °C if compared to pre-industrial levels. In this context, the paper analyses the potential impact of climate change on the energy uses for heating and cooling in southern Europe, based on the assumptions of the latest Intergovernm…

Consumption (economics)Settore ING-IND/11 - Fisica Tecnica AmbientaleMeteorologyIPCCRenewable Energy Sustainability and the Environment020209 energyGeography Planning and Development0211 other engineering and technologiesClimate changeContext (language use)02 engineering and technologyModelling climate changeManagement Monitoring Policy and LawBuilding simulationOrder (exchange)Effects of global warmingGreenhouse gasRange (aeronautics)Weather data file021105 building & construction0202 electrical engineering electronic engineering information engineeringEnvironmental scienceClimate changeDownscaling
researchProduct

The role of the building sector for reducing energy consumption and greenhouse gases: An Italian case study

2013

The paper presents one of the first Italian experiences assessing the effectiveness of sustainable production and consumption strategies. The authors developed an energy and environmental extended input–output model, combined with the life cycle assessment, to analyse the role of the building sector in the reduction of Italian energy consumption and CO2 emissions. In detail, the model allows to assess the energy and environmental benefits arising from the Italian tax deduction policy for energy retrofit actions of buildings. Moreover, the authors defined an original model to assess the indirect rebound effect caused by the energy retrofit actions. The outcomes of the research point out that…

Consumption (economics)Settore ING-IND/11 - Fisica Tecnica AmbientaleRenewable Energy Sustainability and the EnvironmentInput–output model020209 energyContext (language use)02 engineering and technologyEnergy consumptionRebound effect (conservation)BuildingInputeOutput analysisLife cycle assessmentRebound effectEnergy saving010501 environmental sciencesEnvironmental economics7. Clean energy01 natural sciencesGoods and servicesEconomy13. Climate actionGreenhouse gas11. Sustainability0202 electrical engineering electronic engineering information engineeringEconomicsLife-cycle assessment0105 earth and related environmental sciences
researchProduct

Estimates, trends, and drivers of the global burden of type 2 diabetes attributable to PM2·5 air pollution, 1990–2019: an analysis of data from the G…

2022

Background: Experimental and epidemiological studies indicate an association between exposure to particulate matter (PM) air pollution and increased risk of type 2 diabetes. In view of the high and increasing prevalence of diabetes, we aimed to quantify the burden of type 2 diabetes attributable to PM2·5 originating from ambient and household air pollution.Methods: We systematically compiled all relevant cohort and case-control studies assessing the effect of exposure to household and ambient fine particulate matter (PM2·5) air pollution on type 2 diabetes incidence and mortality. We derived an exposure–response curve from the extracted relative risk estimates using the MR-BRT (meta-regress…

Contaminación del AireHealth (social science)Type II DiabetesType 2 diabetes deathsair pollutionand YLLs attributable to all PM2·5 air pollutionMedicine (miscellaneous)and change from 1990 to 2019DALYsburden of diseaseGlobal Burden of DiseaseCarga Global de EnfermedadesMELLITUSINFLAMMATIONand household PM2·5 pollution from solid fuels in seven GBD super-regions and globally in 2019Diabetes MellitusHumansBiologyASSOCIATIONSRISKINSULIN-RESISTANCEGBD 2019 Diabetes and Air Pollution CollaboratorsHealth PolicyMaterial ParticuladoPublic Health Environmental and Occupational HealthBayes TheoremLONG-TERM EXPOSUREHumanosYLDsChemistryDiabetes Mellitus Type 23121 General medicine internal medicine and other clinical medicineAños de Vida Ajustados por Calidad de Vidaambient PM2·5 pollutionParticulate MatterQuality-Adjusted Life YearsHuman medicineFINE PARTICULATE MATTERRAType II Diabetes; air pollution; burden of disease;The Lancet Planetary Health
researchProduct

Heuristic algorithms for a storage location assignment problem in a chaotic warehouse

2014

The extensive application of emerging technologies is revolutionizing warehouse management. These technologies facilitate working with complex and powerful warehouse management models in which products do not have assigned fixed locations (random storage). Random storage allows the utilization of the available space to be optimized. In this context, and motivated by a real problem, this article presents a model that looks for the optimal allocation of goods in order to maximize the storage space availability within the restrictions of the warehouse. For the proposed model a construction method, a local search algorithm and different metaheuristics have been developed. The introduced algorit…

Control and OptimizationComputer scienceHeuristic (computer science)Applied MathematicsChaoticContext (language use)Management Science and Operations ResearchSpace (commercial competition)computer.software_genreIndustrial and Manufacturing EngineeringComputer Science ApplicationsWarehouseSet (abstract data type)Data miningAssignment problemcomputerAlgorithmMetaheuristicComputer Science::DatabasesEngineering Optimization
researchProduct

An Environmental Analysis of the Effect of Energy Saving, Production and Recovery Measures on Water Supply Systems under Scarcity Conditions

2015

Water is one of the primary resources provided for maintaining quality of life and social status in urban areas. As potable water is considered to be a primary need, water service has usually been managed without examining the economic and environmental sustainability of supply processes. Currently, due to increases in energy costs and the growth of environment preservation policies, reducing water leakage, energy consumption and greenhouse gas (GHG) production have become primary objectives in reducing the environmental footprint of water service. The present paper suggests the implementation of some performance indicators that show the interdependence of water loss, energy consumption and…

Control and OptimizationNatural resource economicsleakageEnergy Engineering and Power TechnologyWater supplylcsh:Technologyjel:Q40Water conservationjel:Qjel:Q43jel:Q42jel:Q41jel:Q48jel:Q47Electrical and Electronic EngineeringEngineering (miscellaneous)jel:Q49Energy recoveryRenewable Energy Sustainability and the Environmentbusiness.industrylcsh:Twater supplyEnvironmental resource managementjel:Q0Energy consumptionperformance indicatorsjel:Q4Energy conservationGreenhouse gasSustainabilityEnvironmental sciencewater supply; energy; leakage; GHG; performance indicatorsGHGbusinessEnergy (miscellaneous)Efficient energy useenergyEnergies
researchProduct

A Short-Term Data Based Water Consumption Prediction Approach

2019

A smart water network consists of a large number of devices that measure a wide range of parameters present in distribution networks in an automatic and continuous way. Among these data, you can find the flow, pressure, or totalizer measurements that, when processed with appropriate algorithms, allow for leakage detection at an early stage. These algorithms are mainly based on water demand forecasting. Different approaches for the prediction of water demand are available in the literature. Although they present successful results at different levels, they have two main drawbacks: the inclusion of several seasonalities is quite cumbersome, and the fitting horizons are not very large. With th…

Control and OptimizationSimilarity (geometry)010504 meteorology & atmospheric sciencesComputer science0208 environmental biotechnologywaterEnergy Engineering and Power TechnologyContext (language use)forecasting02 engineering and technologycomputer.software_genre01 natural scienceslcsh:TechnologyWater consumptionpattern-basedPattern-basedRange (statistics)medicineSDG 7 - Affordable and Clean EnergyElectrical and Electronic EngineeringLeakage (economics)Machine-learningEngineering (miscellaneous)0105 earth and related environmental sciencesMeasure (data warehouse)Renewable Energy Sustainability and the Environmentlcsh:Tmachine-learningWaterSeasonalityDemand forecastingmedicine.disease020801 environmental engineeringWater demandTerm (time)Stage (hydrology)Data miningcomputerForecastingEnergy (miscellaneous)Energies
researchProduct