Zobrazeno 1 - 10
of 2 088
pro vyhledávání: '"H. Madsen"'
Publikováno v:
Energy and AI, Vol 11, Iss , Pp 100211- (2023)
Aiming to enable robust large-scale fault diagnostics and optimized control for supermarket refrigeration systems, a data-driven grey box model for an evaporator and its surrounding cooling cabinet (or room) is presented. It is a non-linear model wit
Externí odkaz:
https://doaj.org/article/6dccfee828684a0194d85db56e984cc9
Publikováno v:
Journal of Hydroinformatics, Vol 23, Iss 4, Pp 795-812 (2021)
Globally, smart meters measuring the water consumption with a high temporal resolution at consumers' households are deployed at an increasing rate. In addition to their use for billing or leak detection purposes, smart meters may provide detailed kno
Externí odkaz:
https://doaj.org/article/47ab0223e9044530b09ac76377f153ea
Publikováno v:
Hydrology and Earth System Sciences, Vol 22, Pp 6591-6609 (2018)
This study analyzes the quality of the raw and post-processed seasonal forecasts of the European Centre for Medium-Range Weather Forecasts (ECMWF) System 4. The focus is given to Denmark, located in a region where seasonal forecasting is of special d
Externí odkaz:
https://doaj.org/article/cd4c34fba4914c7cb321b837883c0d6d
Publikováno v:
Hydrology and Earth System Sciences, Vol 22, Pp 3601-3617 (2018)
In the present study we analyze the effect of bias adjustments in both meteorological and streamflow forecasts on the skill and statistical consistency of monthly streamflow and yearly minimum daily flow forecasts. Both raw and preprocessed meteor
Externí odkaz:
https://doaj.org/article/f49ee182ac4344c0a6cfbbe0cb5acaab
Publikováno v:
Hydrology and Earth System Sciences, Vol 21, Pp 4131-4147 (2017)
The economic and human consequences of extreme precipitation and the related flooding of urban areas have increased rapidly over the past decades. Some of the key factors that affect the risks to urban areas include climate change, the densificati
Externí odkaz:
https://doaj.org/article/c21bf172a9964aaa9ae1e6d69a1b295b
Publikováno v:
Hydrology and Earth System Sciences, Vol 21, Iss 2, Pp 751-764 (2017)
Availability of in situ river monitoring data, especially of data shared across boundaries, is decreasing, despite growing challenges for water resource management across the entire globe. This is especially valid for the case study of this work, the
Externí odkaz:
https://doaj.org/article/6b6450a23d114f498a44985aeae6176e
Publikováno v:
Wind Energy Science, Vol 2, Pp 15-33 (2017)
This paper presents the integration of a near-wake model for trailing vorticity, which is based on a prescribed-wake lifting-line model proposed by Beddoes(1987), with a blade element momentum (BEM)-based far-wake model and a 2-D shed vorticity mo
Externí odkaz:
https://doaj.org/article/f023bbb677434774a6d7cde554564057
Autor:
A. Koblansky, S. Raines, J. Schawalder, D. Irlbeck, C. Galardi, J. Brehm, J. Ramanjulu, D. Margolis, H. Madsen
Publikováno v:
Journal of Virus Eradication, Vol 5, Iss , Pp 45- (2019)
Externí odkaz:
https://doaj.org/article/3ddfe35b0b954da88132cb8abb49eda8
Publikováno v:
Hydrology and Earth System Sciences, Vol 20, Pp 4341-4357 (2016)
Observed groundwater head and soil moisture profiles are assimilated into an integrated hydrological model. The study uses the ensemble transform Kalman filter (ETKF) data assimilation method with the MIKE SHE hydrological model code. The method w
Externí odkaz:
https://doaj.org/article/f10a6f38503f4940a9bd17811b17a476
Publikováno v:
Hydrology and Earth System Sciences, Vol 20, Iss 5, Pp 2103-2118 (2016)
The use of bias-aware Kalman filters for estimating and correcting observation bias in groundwater head observations is evaluated using both synthetic and real observations. In the synthetic test, groundwater head observations with a constant bias an
Externí odkaz:
https://doaj.org/article/f09e538d68484440a4384a7ebc0b92ae