2016 IEEE International Energy Conference (ENERGYCON) 2016
DOI: 10.1109/energycon.2016.7514106
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Power system reliability assessment based on Large Deviation Theory bounds

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Cited by 3 publications
(2 citation statements)
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“…The reason for this result is that the sampling rate is too high compared to the length of state holding times, so a much higher order of Markov chains would be needed to model the behavior of appliances. Alternatively we could decrease the sampling rate, but it would hide the details Independence MC(1) MC(2) MC(3) MC(4) MC (5) No . of parameters 1 2 4 8 12 17 LL -422881 -9988 -9977 -9960 -9949 -9932 AIC 845763 19979 19959 19928 19910 19882 BIC 845775 20004 20009 20028 20060 in time series data.…”
Section: Order Of Markov Chainsmentioning
confidence: 99%
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“…The reason for this result is that the sampling rate is too high compared to the length of state holding times, so a much higher order of Markov chains would be needed to model the behavior of appliances. Alternatively we could decrease the sampling rate, but it would hide the details Independence MC(1) MC(2) MC(3) MC(4) MC (5) No . of parameters 1 2 4 8 12 17 LL -422881 -9988 -9977 -9960 -9949 -9932 AIC 845763 19979 19959 19928 19910 19882 BIC 845775 20004 20009 20028 20060 in time series data.…”
Section: Order Of Markov Chainsmentioning
confidence: 99%
“…That is why the event of overconsumption is critical. In mathematical terms we can formulate the event of overconsumption as the probability that a given aggregate load X exceeds the capacity C which is often called as Loss of Load Probability [5] in the reliability assessment literature as well:…”
Section: Loss Of Load Probability (Lolp)mentioning
confidence: 99%