Hidden Markov Models for Bounded, Inflated Time Series: Forecasting Icing on Wind Turbine Blades
ABSTRACT Time series analysis of icing‐induced power loss in wind turbines pose several challenges: the response is bounded, serially dependent, intermittently missing, highly dispersed, and often inflated at a single value. We address these challenges with discrete‐time hidden Markov models for a discrete‐continuous process assumed to follow a mixture
Albert S. Bisgaard +3 more
wiley +1 more source
Characterization of the Surface Energy Balance Residual in Complex Terrain. [PDF]
Destro M, Rotach MW, Lehner M.
europepmc +1 more source
ABSTRACT This paper presents an overview of the CONFLOWS project, a collaborative effort between DNV, Marine Power Systems (MPS) and Durham University. The project investigates the effects of wake steering from aerodynamic, structural and economic modelling perspectives, aiming to provide a comprehensive understanding of its impact on performance and ...
Mohammadreza Mohammadi +7 more
wiley +1 more source
Large discrepancies in dominant microphysical processes governing mixed-phase clouds across climate models. [PDF]
Frostenberg HC +12 more
europepmc +1 more source
ThoR: A Motion-Dependent Physics-Informed Deep Learning Framework with Constraint-Centric Theory of Functional Connections for Rainfall Nowcasting. [PDF]
Gia KT, Van HT, Thanh AP, Minh NP.
europepmc +1 more source
MaxEnt model-based prediction of potential suitable habitats of three Trichosanthes L. species in China under future climate change scenarios. [PDF]
Wang X +5 more
europepmc +1 more source
NetSci: A Library for High Performance Biomolecular Simulation Network Analysis Computation. [PDF]
Stokely AM +6 more
europepmc +1 more source
Multi-model hydrological reference dataset over continental Europe and an African basin. [PDF]
Droppers B +11 more
europepmc +1 more source
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