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
Corrigendum to "The impact of Russo-Ukrainian war, COVID-19, and oil prices on global food security" [Heliyon Volume 10, Issue 8, April 2024, Article e29279]. [PDF]
Al-Rousan N, Al-Najjar H, Al-Najjar D.
europepmc +1 more source
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 +4 more
wiley +1 more source
Research on Regional Variations in Potato Price Fluctuations and Inter-Regional Transmission Mechanisms in China. [PDF]
Lu H, Li T, Hao R, Liu Z, Gao M, Chen J.
europepmc +1 more source
Development of the Human–Equine Attachment Scale
Abstract Background Human–horse relationships encompass diverse roles, from companion to competition partner. The impact of such bonds informs owner decision‐making regarding horse management and veterinary care, yet standardised instruments to measure these unique bonds are limited.
Richard H. Corrigan +5 more
wiley +1 more source
The economic, agricultural, and food security repercussions of a wild pollinator collapse in Europe. [PDF]
Feuerbacher A +3 more
europepmc +1 more source
Caught in the fire: An accidental ethnography of discomfort in researching sex work
Abstract Drawing on fifteen years of engagement with researching Israel's sex industry, this article uses accidental ethnography to propose discomfort‐as‐method for feminist anthropology. I argue that discomfort is not a by‐product of fieldwork but a constitutive condition that disciplines researchers and shapes what can be known.
Yeela Lahav‐Raz
wiley +1 more source
Forecasting global monthly cotton prices: the superiority of NNAR models over traditional models. [PDF]
Limbu Sanwa R, Khadka R, Chi YN.
europepmc +1 more source
When Are Statistical Forecast Gains Economically Relevant? Evidence From Bitcoin Returns
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
Baltic dry index forecast using financial market data: Machine learning methods and SHAP explanations. [PDF]
Kim HS, Kim DH, Choi SY.
europepmc +1 more source

