Analysis and implementation with Python
Table of Contents
∘ Introduction
∘ Why Forecast Solar Power?
∘ Data
∘ Exploratory Data Analysis
∘ Why Prophet?
∘ Evaluation Criteria for Models
∘ Baseline Model
∘ Prophet Model (Default Hyperparameters)
∘ Prophet Model (Tuned Hyperparameters)
∘ Results and Discussion
∘ Future Steps
∘ Conclusion
∘ References
Introduction
Germany is currently undergoing Energiewende, a long-term transition to a net-zero carbon economy that predominantly utilizes renewable energy resources to generate electricity. Solar power plays a pivotal role in ensures Germany’s energy security.
Therefore, the success of this transition greatly hinges on the ability to accurately predict future solar energy output. This article explores the feasibility of forecasting the solar energy generation in Germany using the Prophet Library.