ARIMA model output

I have tried to do a time series analysis of the eletricity prices for 2022 via R. The prices are recorded hourly and plottet hourly, but the x axes is in days to get a sense of where we are in the year.

As time series is a new subject for me I have a hard to interpreting the outputs and graphs.
Can someone interpret the plots from the uploaded image and tell me if there is anything obvious to notice, what looks good and what looks bad? also why? 
The SD of the residuals was 19, maybe put some words on that aswell.

  • Feel free to ask questions, I have the code and can provide a summary for the ARIMA model coefficients aswell.

  • Mathe Mathe

    I would increase the bounty substantially for an advanced question.

  • Increased to 20


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Mathe Mathe
  • Thanks for the answer. Could you make a small comment on the SD of the residuals being equal to 19 and what that means for the model?

    • Mathe Mathe

      I could only say that the residuals are centered around zero and their estimated standard deviation is 19

The answer is accepted.
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