The aim of this thesis is to analyze the impacts of weather factors and determine how individual factors influence the price of electrical energy. The first part provides an overview of the current state of the electricity market in Germany and describes its characteristics. The second part reviews the sources of electrical energy production that are most closely related to weather factors, focusing on solar, wind, hydro, and gas power generation.
In the third part, we summarize the ways to reduce the impacts of weather factors on the price of electrical energy. In the final section of the thesis, linear and polynomial regression analyses are conducted to determine the influence of specific data on the electrical energy price, with a major focus on wind and solar energy. Data are combined in various ways, and linear regression is employed to assess the impact of wind and solar energy at different time intervals. A similar process is carried out for temperature analysis, using polynomial regression. This bachelor thesis provides insights into the complex relationship between weather factors, energy production, and electrical energy pricing while highlighting potential strategies to mitigate these influences.
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