Milan Zdravković
PulseAugur coverage of Milan Zdravković — every cluster mentioning Milan Zdravković across labs, papers, and developer communities, ranked by signal.
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Paper proposes Explainable AI for trustworthy heat demand forecasting
A new paper introduces an ante-hoc Explainable AI methodology to evaluate the global feature importance of machine learning models used in heat demand forecasting. The research aims to enhance the interpretability and t…
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AI methods tackle district heating system outliers for energy efficiency
Researchers have explored various multivariate outlier detection methods for district heating system data, aiming to identify operational irregularities and reduce gas consumption and CO2 emissions. The study evaluated …
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XGBoost outperforms LSTM in heat energy forecasting study
A new research paper compares XGBoost and Long-Short Term Memory (LSTM) for forecasting heat energy in district heating systems. The study found that XGBoost consistently outperformed LSTM, particularly in areas with le…