Analysis of Patterns in Electricity Spot Market Time Series
Ngoga Kirabo, Bob (2010)
Diplomityö
Ngoga Kirabo, Bob
2010
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe201005061811
https://urn.fi/URN:NBN:fi-fe201005061811
Tiivistelmä
Due to its non-storability, electricity must be produced at the same time that it is consumed, as a result prices are determined on an hourly basis and thus analysis becomes more challenging. Moreover, the seasonal fluctuations in demand and supply lead to a seasonal behavior of electricity spot prices. The purpose of this thesis is to seek and remove all causal effects from electricity spot prices and remain with pure prices for modeling purposes. To achieve this we use Qlucore Omics Explorer (QOE) for the visualization and the exploration of the data set and Time Series Decomposition method to estimate and extract the deterministic components from the series. To obtain the target series we use regression based on the background variables (water reservoir and temperature). The result obtained is three price series (for Sweden, Norway and System prices) with no apparent pattern.