Boost short-term load forecasts with synthetic data from transferred latent space information

Autor: Benedikt Heidrich, Lisa Mannsperger, Marian Turowski, Kaleb Phipps, Benjamin Schäfer, Ralf Mikut, Veit Hagenmeyer

Publikováno v: Energy Informatics, Vol 5, Iss S1, Pp 1-20 (2022)

Abstract Sustainable energy systems are characterised by an increased integration of renewable energy sources, which magnifies the fluctuations in energy supply. Methods to to cope with these magnified fluctuations, such as load shifting, typically r

Externí odkaz: https://doaj.org/article/13cb8d0746db4c64982edd78d71efac3

Model Diagnostics and Forecast Evaluation for Quantiles

Autor: Tilmann Gneiting, Daniel Wolffram, Johannes Resin, Kristof Kraus, Johannes Bracher, Timo Dimitriadis, Veit Hagenmeyer, Alexander I. Jordan, Sebastian Lerch, Kaleb Phipps, Melanie Schienle

Publikováno v: Annual Review of Statistics and Its Application. 10:597-621

Model diagnostics and forecast evaluation are closely related tasks, with the former concerning in-sample goodness (or lack) of fit and the latter addressing predictive performance out-of-sample. We review the ubiquitous setting in which forecasts ar

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d699b3f57396cbd309f50850e47b611e
https://doi.org/10.1146/annurev-statistics-032921-020240

Controlling non-stationarity and periodicities in time series generation using conditional invertible neural networks

Autor: Benedikt Heidrich, Marian Turowski, Kaleb Phipps, Kai Schmieder, Wolfgang Süß, Ralf Mikut, Veit Hagenmeyer

Publikováno v: Applied Intelligence, 53 (8), 8826–8843

Generated synthetic time series aim to be both realistic by mirroring the characteristics of real-world time series and useful by including characteristics that are useful for subsequent applications, such as forecasting and missing value imputation.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ff352123785f588ab95d643955d8444

High-resolution real-world electricity data from three microgrids in the global south

Autor: Matthias Luh, Kaleb Phipps, Anthony Britto, Matthias Wolf, Marek Lutz, Johann Kraft

Publikováno v: KITopen
ORCID
Datacite

Microgrids are a promising solution for providing renewable electricity access to rural populations in the Global South. To ensure such renewable microgrids are affordable, careful planning and dimensioning are required. High-resolution data on elect

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb11c4dd2a672eebf711b48f114f05f6
https://publikationen.bibliothek.kit.edu/1000149157/149088889

Review of automated time series forecasting pipelines

Autor: Kaleb Phipps, Marian Turowski, Stefan Meisenbacher, Martin Rätz, Veit Hagenmeyer, Ralf Mikut, Dirk Müller

Publikováno v: WIREs Data Mining and Knowledge Discovery, 12 (6), Art.Nr. e1475
Review of automated time series forecasting pipelines 12(6), e1475 (2022). doi:10.1002/widm.1475

Review of automated time series forecasting pipelines e1475 (2022). doi:10.1002/widm.1475
Published by Wiley, Hoboken, NJ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ad7e11ae9a48d641a9fe9408f30a21b