Igor Manojlović, PhD’s Post

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Senior Data Scientist & Tech Lead @ HTEC

I'm thrilled to announce that our paper, "Cumulant Learning: Highly Accurate and Computationally Efficient Load Pattern Recognition Method for Probabilistic STLF at the LV Level", has been accepted for publication in the prestigious IEEE Transactions on Smart Grid! 🎉 This paper is a generalization of my PhD thesis and the result of a collaborative effort with my professors/mentors and co-authors: Goran Švenda, Aleksandar Erdeljan, Milan Gavric, and Darko Čapko. I’m especially proud that this paper was recognized by one of the top journals in the field of Electrical and Electronics Engineering, ranking in the top 10% according to the WoS/JCR impact factor (classified as M21a in Serbia). 🏆 This work tackles one of the biggest challenges in energy forecasting—predicting the highly variable load patterns of millions of low-voltage consumers (think about all the times we turn on and off lights, air conditioners, washing machines, and other devices at home). 💡 So, rather than trying to predict the exact behavior of every individual with overly complex models (and likely failing spectacularly), we asked ourselves, “What if we could predict the collective behavior of similar consumers and use that to estimate the future behavior of individuals with some level of probability?” 🤔 This approach still required a specially designed clustering method and a fairly deep neural network, but it paid off: our model achieved the highest average accuracy in a case study on real-world smart meter data from the UK and Australia, even outperforming more sophisticated models like graph neural networks. On top of that, it proved more robust to outliers and better at predicting load surges, with shorter execution times and lower memory consumption, making it highly suitable for managing low-voltage networks. ⚡🌍 Feel free to check out the early access link below and reach out to me for a free copy! 😉 I welcome any feedback or questions you might have! #SmartGrid #Clustering #DeepLearning #PatternRecognition #Forecasting

Cumulant Learning: Highly Accurate and Computationally Efficient Load Pattern Recognition Method for Probabilistic STLF at the LV Level

Cumulant Learning: Highly Accurate and Computationally Efficient Load Pattern Recognition Method for Probabilistic STLF at the LV Level

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Gabriel Levine

Senior Data Scientist

2mo

Congrats Igor! Awesome work

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Miljana Vukoje

Manager: Product, Project, Program, Delivery, People | M.Sc. in Applied Mathematics

2mo

Congrats Igor! 🎉🎉

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