add alternative section and complementary projects section
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@ -130,5 +130,12 @@ Each type of system is simple in its design and task.
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However, adding a designated power monitoring measurement device to each individual system can significantly increase cost, maintenance, and points of failure.
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Capturing the power consumption of these machines at a single point could minimize the implementation footprint while maintaining a reliable physics-based monitoring solution.
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\section{Multi-Source Multi-Measure}
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The MSMM problem is a combination of the previous ones for which a clear application is difficult to imagine.
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In an MSMM context, multiple capture systems would each measure an aggregate power consumption to form a multivariate time series.
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Each dimension of this time series would incorporate the consumption of one or more individual components.
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As long as the capture architecture (i.e., what machine is monitored by which capture system) is known, the analysis is a combination of the methods previously presented.
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In the case where the capture architecture is unknown, the problem become out of scope for this thesis.
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\section{Conclusion}
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\agd{to be filled}
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