Results 151 to 160 of about 30,788 (321)

Voltage Control Method of Multienergy Distribution Grid Based on Deep Reinforcement Learning Considering Attention and Value Decomposition

International Transactions on Electrical Energy Systems
Multienergy distribution network (MEDN) with high penetration photovoltaics (PVs) may suffer from sharp voltage fluctuations and increased network losses.
Xiaodong Yu, Xu Ling, Xiao Li, Fei Tang, Jianghui Xi, Xiongguang Zhao   +5 more
doaj   +1 more source

Partially Observable Markov Decision Process for Closed-Loop Anesthesia Control

, 2012
Eddy C. Borera, Brett L. Moore, Larry D. Pyeatt   +2 more
openalex   +1 more source

Reinforcement Learning with Temporal Logic Constraints for Partially-Observable Markov Decision Processes [PDF]

, 2021
Yu Wang, Alper Kamil Bozkurt, Miroslav Pajić   +2 more
openalex   +1 more source

Time‐ and State‐Dependent Damage Accumulation Due to Aftershocks Under an M9.0 Megathrust Earthquake in the Cascadia Subduction Zone

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT This study develops a comprehensive framework for assessing time and state‐dependent aftershock damage accumulation under an M9.0 megathrust interface earthquake in the Cascadia Subduction Zone (CSZ). The framework integrates aftershock probabilistic seismic hazard analysis (APSHA) and state‐dependent fragility analysis (SDFA) within a ...
Hongzhou Zhang, Yazhou Xie
wiley   +1 more source

Analysis of Energy Consumption, Economic Efficiency and Carbon Emissions of Ice Slurry Direct Supply System: A Case Study of China

Energy Science &Engineering, EarlyView.
ABSTRACT Traditional air conditioners suffer from low energy efficiency and exacerbate grid peak loads. While ice storage offers energy‐saving potential, the systematic regulation of ice packing fraction (IPF) on cooling consumption and its synergy with dynamic carbon emissions remains unexplored.
Di Yang, Wenpeng Hong, Xu Jin
wiley   +1 more source

Pathwise uniform value in gambling houses and Partially Observable Markov Decision Processes [PDF]

, 2015
Xavier Venel, Bruno Ziliotto
openalex   +1 more source

Mortality Forecasting Using Variational Inference

Journal of Forecasting, EarlyView.
ABSTRACT This paper considers the problem of forecasting mortality rates. A large number of models have already been proposed for this task, but they generally have the disadvantage of either estimating the model in a two‐step process, possibly losing efficiency, or relying on methods that are cumbersome for the practitioner to use.
Patrik Andersson, Mathias Lindholm
wiley   +1 more source

Pond-Hindsight: Applying Hindsight Optimization to Partially-Observable Markov Decision Processes

, 2021
Alan Olsen
openalex   +2 more sources

A Fuzzy Framework for Realized Volatility Prediction: Empirical Evidence From Equity Markets

Journal of Forecasting, EarlyView.
ABSTRACT This study introduces a realized volatility fuzzy time series (RV‐FTS) model that applies a fuzzy c‐means clustering algorithm to estimate time‐varying c$$ c $$ latent volatility states and their corresponding membership degrees. These memberships are used to construct a fuzzified volatility estimate as a weighted average of cluster centroids.
Shafqat Iqbal, Štefan Lyócsa
wiley   +1 more source

Kalman Based Finite State Controller for Partially Observable Domains

International Journal of Advanced Robotic Systems, 2008
A real world environment is often partially observable by the agents either because of noisy sensors or incomplete perception. Moreover, it has continuous state space in nature, and agents must decide on an action for each point in internal continuous ...
H. Levent Akin, Alp Sardag
doaj