?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Spatio-temporal+modelling+and+uncertainty+estimation+of+hourly%0D%0Aglobal+solar+irradiance+using+Extreme+Learning+Machines&rft.creator=Walch%2C+Alina&rft.creator=Castello%2C+Roberto&rft.creator=Mohajeri%2C+Nahid&rft.creator=Guignard%2C+Fabian&rft.creator=Kanevski%2C+Mikhail&rft.creator=Scartezzini%2C+Jean-Louis&rft.description=Solar+photovoltaic+(PV)+is+one+of+the+most+promising+technologies+for+the+transition+from+fossil+fuels+to+renewable+energy+production.+Accurate+spatial+and+temporal+modelling+of+solar+irradiance+is+a+key+factor+in+the+evaluation+of+PV+technology+potential+for+harvesting+solar+energy.+We+present+here+a+data-driven+approach+based+on+an+ensemble+of+Extreme+Learning+Machines+using+geographic+and+topographic+features+in+input+to+predict+the+global+horizontal+irradiance+in+Switzerland+from+coarse-resolution+satellite+measurements.+This+provides+a+precise+mapping+of+hourly+global+solar+irradiance+for+each+(250+%C3%97+250)+m2+pixel+of+a+grid+covering+the+entire+country.+The+uncertainty+on+predicted+values+is+quantified+through+a+variance-based+analysis%2C+able+to+distinguish+between+model+and+data+uncertainty.+The+former+amounts+to+1%25%2C+whereas+the+latter+is+close+to+15%25+of+the+predicted+values.+The+presented+methodology+is+scalable+and+applicable+to+any+large+environmental+dataset.+Our+modelling+of+solar+irradiance+at+hourly+temporal+resolution+and+of+its+uncertainty+will+allow+for+an+estimate+of+hourly+PV+potential+in+Switzerland+to+facilitate+a+more+efficient+integration+of+solar+photovoltaics+into+the+built+environment.&rft.subject=Hourly+solar+irradiance%3B+Extreme+Learning+Machines%3B+Uncertainty%3B+Satellite+data&rft.publisher=Elsevier&rft.contributor=Yan%2C+Jinyue&rft.contributor=Yang%2C+Hong-xing&rft.contributor=Li%2C+Hailong&rft.contributor=Chen%2C+Xi&rft.date=2019-02&rft.type=Proceedings+paper&rft.language=eng&rft.source=+++++In%3A+Yan%2C+Jinyue+and+Yang%2C+Hong-xing+and+Li%2C+Hailong+and+Chen%2C+Xi%2C+(eds.)+Energy+Procedia.++(pp.+pp.+6378-6383).++Elsevier%3A+Amsterdam%2C+The+Netherlands.+(2019)+++++&rft.format=text&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F10200265%2F1%2F1307_PDF_0713113736%2520-Energy%2520Procedia.pdf&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F10200265%2F&rft.rights=open