https://dasya.itu.dk/tags/time-series-data/ Recent content in Time Series Data on DASYA Hugo -- gohugo.io en-us © DASYA, IT University of Copenhagen Thu, 20 Aug 2020 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/automl-forecasting-energy/ Thu, 20 Aug 2020 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/automl-forecasting-energy/ With the recent hunger for being “data driven”, many organizations are eager for integrating ML in there decision making process. Unfortunately, competent data scientists are still relatively scarce, and manual model development cannot keep up with the demand for magic AI solutions. This is no less true when it comes to forecasting. Knowing the future is extremely handy when making decisions. AutoML for Time Series Forecasting Subsequently many systems are now developing and integrating AutoML tools for time series forecasting. https://dasya.itu.dk/for-students/proposals/archive/non-intrusive-load-monitoring/ Mon, 06 Jul 2020 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/non-intrusive-load-monitoring/ How much does our smart meter readings disclose about us? Can we disentangle the oven from the washing machine from the kettle? Can we identify demographics and behavior patterns from the stream of electricity data? Most danish homes are now equipped so-called “smart meters” - networked electricity meters that report consumption and load at much higher rate than conventional meters. Currently the meters report data back to a centralized datahub on an hourly basis, but the meters are capable of producing data at a much higher granularity than this.