Tuning Forecasting Algorithms for Black Swans
Sign Up to like & getrecommendations! Published in 2019 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2019.11.411
Abstract: Abstract Forecasting algorithms based on exponential smoothing have smoothing factors, and it is often recommended that these be tuned to minimise an error measure on observed data. We show that forecasting algorithms such as simple… read more here.
Keywords: algorithms black; tuning forecasting; error; forecasting algorithms ... See more keywords
Using machine learning techniques to develop forecasting algorithms for postoperative complications: protocol for a retrospective study
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DOI: 10.1136/bmjopen-2017-020124
Abstract: Introduction Mortality and morbidity following surgery are pressing public health concerns in the USA. Traditional prediction models for postoperative adverse outcomes demonstrate good discrimination at the population level, but the ability to forecast an individual… read more here.
Keywords: machine learning; time; study; learning techniques ... See more keywords
A Comparative Study of Single and Multi-Stage Forecasting Algorithms for the Prediction of Electricity Consumption Using a UK-National Health Service (NHS) Hospital Dataset
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DOI: 10.3390/fi15040134
Abstract: Accurately looking into the future was a significantly major challenge prior to the era of big data, but with rapid advancements in the Internet of Things (IoT), Artificial Intelligence (AI), and the data availability around… read more here.
Keywords: consumption; forecasting algorithms; comparative study; nhs hospital ... See more keywords