XGBoost outperforms LSTM in forecasting transmitted heat energy in district heating systems, with lower computational cost and environmental impact.
Read the original at arxiv.org→arXiv:2608.11446v1 Announce Type: new Abstract: This paper presents a comparative study of two distinct approaches, XGBoost and Long-Short Term Memory (LSTM), for forecasting transmitted heat energy in District...
Original headline: "XGBoost "is all you need": the case of forecasting transmitted heat energy in District Heating Systems"
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- Aug 13, 04:00 UTC arXiv cs.LG lead source XGBoost "is all you need": the case of forecasting transmitted heat energy in District Heating Systems