Optimizing Customer Energy Invoice Calculation with Parallel Computation
Parkkila, Janne (2012)
Diplomityö
Parkkila, Janne
2012
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe201210159422
https://urn.fi/URN:NBN:fi-fe201210159422
Tiivistelmä
Diplomityön tarkoituksena on optimoida asiakkaiden sähkölaskun laskeminen hajautetun laskennan avulla. Älykkäiden etäluettavien energiamittareiden tullessa jokaiseen kotitalouteen, energiayhtiöt velvoitetaan laskemaan asiakkaiden sähkölaskut tuntiperusteiseen mittaustietoon perustuen. Kasvava tiedonmäärä lisää myös tarvittavien laskutehtävien määrää. Työssä arvioidaan vaihtoehtoja hajautetun laskennan toteuttamiseksi ja luodaan tarkempi katsaus pilvilaskennan mahdollisuuksiin. Lisäksi ajettiin simulaatioita, joiden avulla arvioitiin rinnakkaislaskennan ja peräkkäislaskennan eroja. Sähkölaskujen oikeinlaskemisen tueksi kehitettiin mittauspuu-algoritmi. The thesis takes a look at optimizing customer energy invoice calculation performance with the use of distributed computing. As the smart energy meters are installed to every household, the energy companies need to calculate customer invoices according to hourly received measurement data. In order to calculate the customer invoices correctly within a small amount of time a metering tree algorithm was devised. In addition, the thesis evaluates distributed computing options for optimizing the computation and takes a closer look at cloud computing. An amount of simulations were done to evaluate the advantages of parallel computation against the traditional sequential computing.
Kokoelmat
Samankaltainen aineisto
Näytetään aineisto, joilla on samankaltaisia nimekkeitä, tekijöitä tai asiasanoja.
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