Results 201 to 210 of about 1,442,152 (332)

Better on Average? Average Inflation Targeting With an Unclear Averaging Window

open access: yesSouthern Economic Journal, EarlyView.
ABSTRACT Average inflation targeting (AIT) aims to stabilize inflation expectations by offsetting past deviations from target. However, ambiguity about the averaging window can complicate expectations formation and reduce policy effectiveness. This paper integrates AIT into a benchmark DSGE model, incorporating adaptive learning and a signal extraction
James Dean
wiley   +1 more source

A Novel Approach to Energy Management in Electric Steelworks

open access: yessteel research international, EarlyView.
Feed‐forward neural networks are exploited to estimate electric energy consumptions of the electric arc furnace and ladle furnace processes. The models are used to optimize production schedule so that more energy intensive grades are produced when the cost of energy is lower.
Valentina Colla   +12 more
wiley   +1 more source

A new smooth failure criterion for concrete inspired by Lubliner's condition

open access: yesStructural Concrete, EarlyView.
Abstract A new failure criterion with 10 parameters is proposed, based on Lubliner's idea of joining two Drucker–Prager cones. The novelty lies in the way of introducing deviatoric shape variation: through two Podgórski's functions. This feature allows for improving plane stress cross‐section's compatibility with experimental data.
Inez Kamińska, Aleksander Szwed
wiley   +1 more source

AT‐AER: Adversarial Training With Adaptive Example Reuse

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Adversarial training (AT) is widely regarded as a crucial defense method for deep neural networks against adversarial attacks. Most of the existing AT methods suffer from the problems of insufficient coverage of perturbation space and robust overfitting.
Meng Hu   +5 more
wiley   +1 more source

Fault‐Tolerant Fuzzy Boundary Control for Nonlinear Distributed Parameter Systems Under Limited Measurements and Markovian Failures

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT This paper proposes a boundary control method for nonlinear distributed parameter systems (DPSs) with limited boundary measurements (BMs), as typically encountered in networked cyber‐physical processes with spatially distributed dynamics such as thermal and biomedical diffusion systems.
Yanlin Li   +5 more
wiley   +1 more source

Optimal Scheduling of Data Centre Integrated Energy Systems Considering Electric‐Thermal Demand Response Under Icing Uncertainty

open access: yesEnergy Internet, EarlyView.
ABSTRACT Extreme icing disasters increasingly undermine the reliability of integrated power and heat networks by causing line outages, supply shortages and sharp thermal load fluctuations. To address these challenges, this paper proposes a comprehensive optimisation framework that exploits the spatiotemporal flexibility of data centres for coordinated ...
Yan Wang   +6 more
wiley   +1 more source

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