Energy consumption analysis with Python

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SQL

Python

data

machine-learning

I'm new in this group so sorry if my requests is not very well explained. I study in Rome and I'm attending a master course in engineering in computer science, with data analysis and machine learning orientation, I also "work" as a statist in a society interesting in the developing of new products based on machine learning. My boss gave me a csv file with the energy consumption of their building and I built a sqlite table in this way:

date of the day as primary key
general consumption of the building for each day
general consumption of the data center
general consumption of the others rooms (offices)
consumption of the UPS
consumption of the refrigerator n. 1
consumption of the refrigerator n. 1
All the datas of the consumption are in kilowatt hour.

I also have the daily weather's data of Rome, where the building is based (humidity, rain, avg temperature, min temperatures, max temperature, rain, ...).

My boss asked me to do some analysis on that datas using machine learning, in order to understand if there are some ways to optimize the energy consumption. I think the that datas are not sufficient to build an analysis of that kind and to find some useful patterns, but he continues to say he wants an analysis. Now I don't know which kind of analysis I could do for that and which ML approach and library (in Python) I could use. Do you have any ideas?

What I have tried:

I tried to do some manual analysis with SQLite, but I don't know how to start using ML to solve the problem.