What models are suitable for the series?(ARIMA, LSTM, etc.) (with summary picture)

Hello, I'm machine learning and coding New B ^;

Work hard...I'm studying hard with bad hair. I'm leaving a question because it's so difficult and agonizing. I have time series data. It's ammonia time series data... At the same time, other factors such as ventilation, temperature, and dew point were also measured.

The ultimate goal is to create a model that predicts the future by referring to certain parts as shown in the figure below. I think I can just use the concentration of ammonia...It seems that the concentration can be inferred by referring to several inputs (ventilation amount, temperature, dew point) such as machine learning.

(S)I studied ARIMA, LSTM, etc.In fact, I've been doing this and that for weeks after installing TensorFlow on Pyseon for the first time in my life. But I'm not making any progress.It's hard to find the right model, and I don't know if this is right...

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