LEADER 02498nam0 22005533i 450 001 VAN0249155 005 20230530094713.916 017 70$2N$a9783030286699 100 $a20220805d2020 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aForecasting and Assessing Risk of Individual Electricity Peaks$fMaria Jacob, Cláudia Neves, Danica Vukadinovi? Greetham 210 $aCham$cSpringer$d2020 215 $axii, 97 p.$cill.$d24 cm 410 1$1001VAN0123753$12001 $aSpringerBriefs in Mathematics of Planet Earth. Weather, Climate, Oceans$1210 $aCham [etc.]$cSpringer 500 1$3VAN0249160$aForecasting and Assessing Risk of Individual Electricity Peaks$92902503 606 $a86A25$xGeo-electricity and geomagnetism [MSC 2020]$3VANC022117$2MF 606 $a86-XX$xGeophysics [MSC 2020]$3VANC023269$2MF 610 $aBlock maxima methods in statistics of extremes$9KW:K 610 $aElectricity forecasting$9KW:K 610 $aEnd-point estimation$9KW:K 610 $aError measures$9KW:K 610 $aExtreme value theory$9KW:K 610 $aForecasting individual electricity peaks$9KW:K 610 $aHeteroscedasticity$9KW:K 610 $aIndividual electricity peaks$9KW:K 610 $aLong Short Term Memory (LSTM)$9KW:K 610 $aMulti-layer Perceptron (MLP)$9KW:K 610 $aPermutation merge$9KW:K 610 $aPermutation-based algorithms$9KW:K 610 $aPermutation-based errors$9KW:K 610 $aRisk of individual electricity peaks$9KW:K 610 $aSARIMA models$9KW:K 610 $aScedasis$9KW:K 610 $aShort-term load forecast$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aJacob$bMaria$3VANV203819$0985113 701 1$aGreetham$bDanica Vukadinovi?$3VANV203821$01252019 701 1$aNeves$bCláudia$3VANV203820$01252020 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-030-28669-9$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN0249155 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 4657 $e08eMF4657 20220805 996 $aForecasting and Assessing Risk of Individual Electricity Peaks$92902503 997 $aUNICAMPANIA