This is a python reader for the ACSF time-series dataset [1].
In this dataset there are energy consumption recordings of 15 different household devices. The recodings are done over 1 hour with a recoding at every 10 seconds, resulting in time-series of ~360 steps.
The classes are:
'Shaver': 1,
'Microwave oven': 2,
'Computer station': 3,
'Hi-Fi system': 4,
'Printer': 5,
'Kettle': 6,
'Laptop': 7,
'Mobile phone': 8,
'Lamp CFL': 9,
'Fridge / Freezer': 10,
'Fan': 11,
'Coffee machine': 12,
'TV': 13,
'Lamp Inc.': 14}
This reader is created to make the use of the data more convinients and offers some tools to make your life easier.
The most important features are shown in GettingStarted.ipynb
If there are questions about the dataset or the reader do not hesitate to contact me.