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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
 First, load the UKDALE dataset into NILMTK.  Here we are loading the HDF5 version of UKDALE which you can download by following the instructions on the UKDALE website.
Step1:  Next, to speed up processing, we'll set a "window of interest" so NILMTK will only consider one month of data.
Step2:  Get the ElecMeter associated with the Fridge in House 1
Step3:  Now load the activations
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Python Code:
dataset = nilmtk.DataSet('/data/mine/vadeec/merged/ukdale.h5')
Explanation: First, load the UKDALE dataset into NILMTK.  Here we are loading the HDF5 version of UKDALE which you can download by following the instructions on the UKDALE website.
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dataset.set_window("2014-06-01", "2014-07-01")
Explanation: Next, to speed up processing, we'll set a "window of interest" so NILMTK will only consider one month of data.
End of explanation
BUILDING = 1
elec = dataset.buildings[BUILDING].elec
fridge = elec['fridge']
Explanation: Get the ElecMeter associated with the Fridge in House 1:
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activations = fridge.get_activations()
print("Number of activations =", len(activations))
activations[1].plot()
plt.show()
Explanation: Now load the activations:
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