A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan +4 more
wiley +1 more source
Evaluation of Concentration Changes in Plasma Amino Acids and Their Metabolites in Eventing Horses During Cross-Country Competitions as Potential Performance Predictors. [PDF]
Reemtsma FP +4 more
europepmc +1 more source
Annual Reports to the ESA Council ESA 110th Annual Meeting July, 2025
The Bulletin of the Ecological Society of America, EarlyView.
wiley +1 more source
UK Forecasts of Annual GDP: Their Accuracy and the Information Categories Underlying Their Revisions
ABSTRACT Policy makers are concerned with the accuracy of GDP forecasts and want to understand the reasons for the revision of forecasts. We study these issues by examining forecasts of annual UK GDP growth by a panel of agents, published monthly by HM Treasury. We focus on two main issues: the developing accuracy of the group‐mean forecast as horizons
Nigel Meade, Ciaran Driver
wiley +1 more source
Resting metabolic rate is repeatable, but does not affect call characteristics, in the gray treefrog Hyla chrysoscelis. [PDF]
Will P +3 more
europepmc +1 more source
Mortality Forecasting Using Variational Inference
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
The Bushland, Texas, alfalfa, soybean, sunflower, and winter wheat evapotranspiration, growth, and yield dataset collections. [PDF]
Evett SR +4 more
europepmc +1 more source
A Fuzzy Framework for Realized Volatility Prediction: Empirical Evidence From Equity Markets
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
Significant Mortality Reduction from Severe <i>Pneumocystis jirovecii</i> Pneumonia in People Living with HIV and Treated in the Intensive Care Unit, Croatia, 2002-2023. [PDF]
Glavač F +9 more
europepmc +1 more source
Tuxedo, Town of and Town of Tuxedo Police Benevolent Association (PBA) (2005) [PDF]
core +1 more source

