Results 121 to 130 of about 1,572 (217)
ABSTRACT Estimation of the time required for damaged building components to return to their pre‐earthquake conditions through repair is a critical element in assessing the seismic resilience of buildings, and it requires consideration of uncertainty.
Tomoaki Nishino +5 more
wiley +1 more source
Spatio‐Temporal Dual‐Encoder Transformer for Short‐Term Regional Wind Power Forecasting
ST‐DualFormer separates temporal and spatial encoding to model complex dependencies in regional wind power forecasting. The fused dual‐stream representation enables accurate short‐term regional forecasts from multi‐farm meteorological and historical power data. The method achieved 5.25% nMAE and 7.53% nRMSE for three‐day‐ahead forecasting on real‐world
Jianfeng Che +4 more
wiley +1 more source
A Review of Energy Management Strategies for Hybrid Electric Vehicles
This review systematically categorizes energy management strategies (EMS) for hybrid electric vehicles, highlighting rule‐based, optimization‐based, learning‐based, and emerging algorithm‐mixing approaches. It provides a comprehensive roadmap for developing intelligent control systems to enhance energy efficiency and promote sustainable transportation.
Song Gao +9 more
wiley +1 more source
Thermodynamic bounds and symmetries in first-passage problems of fluctuating currents
We develop a method for deriving thermodynamic bounds for first-passage problems of currents with two boundaries in Markov chains. Using this method, we derive a thermodynamic bound on the rate of dissipation in terms of the splitting probability and the
Adarsh Raghu, Izaak Neri
doaj +1 more source
Legacy effects of redlining on the distribution of greenspaces in US cities
We investigated how a discriminatory housing policy—redlining—has shaped the spatial patterns and configurations of greenspaces throughout 177 cities in the contiguous US. Housing segregation has been a long‐term development practice that has sequestered communities of color to areas with elevated environmental and public health risks.
Travis Gallo +4 more
wiley +1 more source
Nowcasting World Trade With Machine Learning: A Three‐Step Approach
ABSTRACT We nowcast world trade using machine learning, distinguishing between tree‐based methods (random forest and gradient boosting) and their linear‐regression‐based counterparts (macroeconomic random forest and gradient boosting—linear). While much less used in the literature, the latter are found to outperform not only the tree‐based techniques ...
Menzie Chinn +2 more
wiley +1 more source
A New Implementation of Network GARCH Model for Stock Volatility and Co‐Volatility Forecasting
ABSTRACT Volatility clustering and spillovers are key features of financial time series with many cross‐sectional assets. While network analysis links similar or correlated stocks and helps trace volatility spillovers, contemporary multivariate ARCH‐GARCH formulations struggle to represent structured network dependence and remain parsimonious.
Peiyi Zhou
wiley +1 more source
ABSTRACT This study examines risk transmission and co‐movements between financial markets (G7 countries and China) and commodity markets (gold and oil) during the COVID‐19 crisis. Daily closing prices for major equity indices (CAC40, CSI300, DAX30, FTSE100, MIB, NIKKEI, TSX and S&P500) and futures prices for gold, brent and WTI were analysed using DCC ...
V. Moutinho +3 more
wiley +1 more source
ABSTRACT This study aims to classify pivotal fintech innovations and explore the prospects and pitfalls associated with emerging fintech services extensively discussed in the literature. We conducted a multistage systematic review of research published on fintech over the past decade from a technological perspective. Using the Preferred Reporting Items
Muhammad Imran Qureshi, Nohman Khan
wiley +1 more source
Industry Portfolio Volatility Connections and Industry Portfolio Returns
ABSTRACT This paper tracks dynamic connections that form among daily US industry portfolio return volatilities using a Bayesian time‐varying parameter VAR model. Market participants often focus on sectors to filter vast amounts of information, and this focus results in cross‐industry return predictability. We characterise connections that form over the
Michael Ellington +2 more
wiley +1 more source

