Epistemic and aleatoric uncertainty quantification in weather and climate models
Aleatoric and epistemic uncertainties over time on weather and climate time‐scales, estimated through ensembles that sample aleatoric and epistemic uncertainty using Bayesian neural networks for parameterisations in the Lorenz 1996 model. The spread shows the 16th and 84th percentiles.
Laura A. Mansfield +1 more
wiley +1 more source
A distributionally robust bilevel optimization model for wholesale-retail electricity market design. [PDF]
Jia X +7 more
europepmc +1 more source
ABSTRACT Rationale Ions trapped within a Penning cell (ICR) travel periodic orbits whose frequencies are dependent on their mass‐to‐charge ratio and the value of the magnetic field passing through the trap. Fourier transformation (FT‐ICR) decomposes the signal induced in the detection circuit by the rotation of the ions in the cell after the ...
Patrick Arpino, Michel Heninger
wiley +1 more source
Distributed decision-making in a shared power network: a game-theoretic framework for integrated electricity and gas systems. [PDF]
Huang J, Yu T, Pan Z, Wu Y.
europepmc +1 more source
Optimal Homogeneous ℒp$$ {\boldsymbol{\mathcal{L}}}_{\boldsymbol{p}} $$‐Gain Controller
ABSTRACT Nonlinear ℋ∞$$ {\mathscr{H}}_{\infty } $$‐controllers are designed for arbitrarily weighted, continuous homogeneous systems with a focus on systems affine in the control input. Based on the homogeneous ℒp$$ {\mathcal{L}}_p $$‐norm, the input–output behavior is quantified in terms of the homogeneous ℒp$$ {\mathcal{L}}_p $$‐gain as a ...
Daipeng Zhang +3 more
wiley +1 more source
Enabling continuous 24/7 vertical mobility in High-Rise buildings by integrating critical activity scheduling and night shift planning. [PDF]
Ahmadnia M, Maghrebi M, Khodatars F.
europepmc +1 more source
Large‐scale characterization of horizontal forest structure from remote sensing optical images
Sub‐meter resolution remote sensing data and tree crown segmentation techniques hold promise in offering detailed information that can support the characterization of forest structure from a horizontal perspective, offering new insights in the tree crown structure at scale.
Xin Xu +12 more
wiley +1 more source
A curated dataset of multi-channel TV program schedules for optimization and benchmarking. [PDF]
Sylejmani K +3 more
europepmc +1 more source
Path‐Based Deep Reinforcement Learning for On‐Board Routing in Satellite Constellation Networks
ABSTRACT Efficient usage of available network resources is a crucial factor for broadband services in interconnected satellite constellations. To meet required quality of service standards under heavy network loads, it is essential to optimize traffic distribution among the intersatellite links. To address this challenge, we propose an adaptive traffic
Manuel M. H. Roth +4 more
wiley +1 more source
Optimization of urban and rural electric bus scheduling considering mobile battery pack deployment. [PDF]
Chen S, Chang A, Cong Y.
europepmc +1 more source

