Results 171 to 180 of about 527,869 (297)

Fermenting value on Vietnamese coffee farms: working knowledge and the production of quality. [PDF]

Agric Human Values
Lindsay S.
europepmc   +1 more source

The commodity markets

Paradigmes: economia productiva i coneixement, 2009
Analysis of the price volatility of commodities markets (energy, raw materials, food).
openaire   +1 more source

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

Studying supplier-induced demand in healthcare: an econophysics approach. [PDF]

Front Health Serv
Zavras D.
europepmc   +1 more source

Techno‐Economic and Life Cycle Assessment of a Nanofluid‐Based Concentrated PV/T–TEG Hybrid System With Spectral Filtering

Energy Science &Engineering, EarlyView.
A novel cascade nanofluid‐based PV/T–TEG hybrid system (CS4) achieves 81.1% thermal and 18.75% exergy efficiency while cutting CO₂ emissions by 7.8 tons year⁻¹. The system delivers superior energy performance, economic savings, and environmental benefits, offering a sustainable pathway for next‐generation solar energy applications.
Abdelhak Lekbir, Samir Hassani, Saad Mekhilef, Kok Soon Tey, Abdullahi Mohamed Samatar   +4 more
wiley   +1 more source

Macroeconomic-aware forecasting of construction costs in developing countries: Using gated recurrent unit and long short-term memory deep learning framework. [PDF]

PLoS One
Alzara M, Gihad N, Abdou H, Soltan A, Hilal A, Ehab A, Ehab A.   +6 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

Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices

Journal of Forecasting, EarlyView.
ABSTRACT This paper presents an evaluation of the accuracy of machine learning (ML) techniques in forecasting the realized volatility of West Texas Intermediate (WTI) crude oil prices. We compare several ML algorithms, including regularization, regression trees, random forests, and neural networks, to several heterogeneous autoregressive (HAR) models ...
Talha Omer, Kristofer Månsson, Pär Sjölander, Gazi Salah Uddin   +3 more
wiley   +1 more source

Research on Regional Variations in Potato Price Fluctuations and Inter-Regional Transmission Mechanisms in China. [PDF]

Foods
Lu H, Li T, Hao R, Liu Z, Gao M, Chen J.
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