Can Gas Consumption Data Improve the Performance of Electricity Theft Detection?
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Supervised machine learning models are receiving increasing attention in electricity theft detection due to their high detection accuracy. However, their performance depends on a massive amount of labeled training data, which comes from time-consuming and ...
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Lausanne2023
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The objective of this research work is to compare the environmental impact, expressed in terms of non-renewable cumulative energy demand (CEDnr) and greenhouse gas (GHG) emissions, of nine architectural visions for a new neighbourhood located in the periur ...
Rationale: Given the expanding number of COVID-19 cases and the potential for new waves of infection, there is an urgent need for early prediction of the severity of the disease in intensive care unit (ICU) patients to optimize treatment strategies.Objecti ...
