Results 171 to 180 of about 433,331 (301)

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
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, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

Budget Impact and Investment Case for HEARTS Hypertension Control Programs in 4 Low- and Middle-Income Countries. [PDF]

JACC Adv
Garcia W, Amiosior O, Choudhury SR, Sambo E, Osi K, Beshah SA, Dessie G, Lam H, Banigbe B, Gupta R, Watkins D, Moran AE.   +11 more
europepmc   +1 more source

When Are Statistical Forecast Gains Economically Relevant? Evidence From Bitcoin Returns

Journal of Forecasting, EarlyView.
ABSTRACT We study how statistical forecast gains for Bitcoin translate into trading profits. Using real‐time out‐of‐sample forecasts from daily bivariate VARs from October 2021 to February 2024, we show that Bitcoin returns are forecastable and that seven predictive indices yield significant gains in directional accuracy (DA).
Rehan Arain, Stephen Snudden
wiley   +1 more source

A cost-benefit analysis of adult immunization programs across ten countries: Modeling the socioeconomic value of immunization for older populations compared to no vaccination. [PDF]

Hum Vaccin Immunother
Chowdhury S, Brassel S, El Banhawi H, Bell E, Neri M, Steuten L.   +5 more
europepmc   +1 more source

A Comparison of Realized Measures of Integrated Volatility: Price Duration‐ vs. Return‐Based Approaches

Journal of Forecasting, EarlyView.
ABSTRACT We study the accuracy of a variety of parametric price duration‐based realized variance estimators constructed via various financial duration models and compare their forecasting performance with the performance of various nonparametric return‐based realized variance estimators.
Björn Schulte‐Tillmann, Mawuli Segnon, Timo Wiedemann   +2 more
wiley   +1 more source

Macro-financial models of Canadian dollar interest rate swap yields. [PDF]

PLoS One
Akram T, Mamun K.
europepmc   +1 more source

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley   +1 more source

Rupiah exchange rate prediction against the US Dollar using a deep neural network with a multi-output sliding window approach. [PDF]

MethodsX
Amri IF, Yunanita N, Lestari FA, Dhani OR.   +3 more
europepmc   +1 more source

The Case of Fleeting Orders and Flickering Quotes

Journal of Futures Markets, EarlyView.
ABSTRACT The literature controversially discusses the ambiguous motives and driving forces behind quickly cancelled limit orders (fleeting orders), which are characteristic of high‐frequency markets. In particular, manipulative and dysfunctional characteristics are feared. We analyze top‐of‐book fleeting orders—so‐called flickering quotes—and show with
Markus Ulze, Johannes Stadler, Andreas W. Rathgeber   +2 more
wiley   +1 more source

Cost-effectiveness of ceftolozane/tazobactam compared to meropenem in ventilator-associated pneumonia. [PDF]

Cost Eff Resour Alloc
Buendía JA, Patiño DG, Zuluaga Salazar AF.   +2 more
europepmc   +1 more source