Instabilities in energy supply caused by equipment failures, particularly in power transformers, can significantly impact efficiency and lead to shutdowns, which can affect the population. To address this, researchers have developed fault diagnosis strategies for oil-immersed power transformers using dissolved gas analysis (DGA) to enhance reliability and environmental responsibility. However, the fault diagnosis of oil-immersed power transformers has not been exhaustively investigated.
View Article and Find Full Text PDFLoad recognition remains not comprehensively explored in Home Energy Management Systems (HEMSs). There are gaps in current approaches to load recognition, such as enhancing appliance identification and increasing the overall performance of the load-recognition system through more robust models. To address this issue, we propose a novel approach based on the Analysis of Variance (ANOVA) -test combined with SelectKBest and gradient-boosting machines (GBMs) for load recognition.
View Article and Find Full Text PDFEfficient energy management in residential environments is a constant challenge, in which Home Energy Management Systems (HEMS) play an essential role in optimizing consumption. Load recognition allows the identification of active appliances, providing robustness to the HEMS. The precise identification of household appliances is an area not completely explored.
View Article and Find Full Text PDFClin Pract Epidemiol Ment Health
August 2023
Background: Alexithymia has been found to be associated with several somatic illnesses, such as cardiovascular, indicating that it might be a risk factor for early death in the long-term course of post-myocardial infarction. From the cardiology perspective, the aim was to collect current evidence about the relationship between alexithymia and somatic illness.
Methods: The literature was synthesized and summarized in a narrative format.