Results 141 to 150 of about 2,046,347 (299)

Regression-based seasonal unit root tests [PDF]

The contribution of this paper is three-fold. Firstly, a characterisation theorem of the sub-hypotheses comprising the seasonal unit root hypothesis is presented which provides a precise formulation of the alternative hypotheses against which regression ...
Richard J. Smith, A. M. Robert Taylor, Tomas del Barrio Castro   +2 more
core  

Weather Attention in Online Discourse and Price Uncertainty in Agricultural Futures Markets

Agribusiness, EarlyView.
ABSTRACT Weather is a central determinant of production risk in agricultural markets, but markets respond not only to weather conditions themselves, but also to how those conditions are noticed, framed, and interpreted in public discourse. In this setting, real‐time online weather discussions may shape price uncertainty by influencing how market ...
Mario A. Ortez, Olga Isengildina Massa, Michael Liam Smith, Nicole Olynk Widmar   +3 more
wiley   +1 more source

Economic Impact of Sustainability in Wine Sector: A Systematic Literature Review

Agribusiness, EarlyView.
ABSTRACT Sustainability has become a key issue in the wine sector, raising questions about its compatibility with firms' economic performance. Despite growing attention to environmental and social practices, evidence on their economic implications remains fragmented.
Valentina Di Chiara, Eugenio Pomarici, Leonardo Cei   +2 more
wiley   +1 more source

Seasonal Prediction of Omicron Pandemic

, 2022
Huang J, Zhao Y, Zhang L, Li X, Gao S, Song X.   +5 more
europepmc   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

Ensemble seasonal forecasting of typhoon frequency over the western North Pacific using multiple machine learning algorithms

Environmental Research Letters
This study introduces an ensemble prediction methodology employing multiple machine learning algorithms for forecasting the frequency of typhoons (TYFs) over the western North Pacific (WNP) during June‒November.
Zhixiang Xiao, Ziqian Wang, Xiaoli Luo, Cai Yao   +3 more
doaj   +1 more source

Ohio Department of Job and Family Services Migrant Agricultural Ombudsman report for the agricultural year ...

Annual; Summarizes the migrant farm worker season and makes recommendations to improve the conditions of farm workers in Ohio.; Vol. for 2004- prepared by: Office of Workforce Development, Bureau of Tax Credit Services, Migrant & Seasonal Farm Workers ...
Migrant & Seasonal Farm Workers Program (Ohio)
core  

BOOTSTRAP PREDICTION INTERVALS FOR POWER-TRANSFORMED TIME SERIES [PDF]

In this paper we propose a bootstrap resampling scheme to construct prediction intervals for future values of a variable after a linear ARIMA model has been fitted to a power transformation of it.
Lorenzo Pascual, Esther Ruiz, Juan Romo
core  

Talk to Your Data: An Agentic Artificial Intelligence‐Driven Decision‐Support Framework for Prosumer Energy Optimization and Recommendations

Advanced Intelligent Systems, EarlyView.
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley   +1 more source

Seasonal prediction of Indian wintertime aerosol pollution using the ocean memory effect. [PDF]

Sci Adv, 2019
Gao M, Sherman P, Song S, Yu Y, Wu Z, McElroy MB.   +5 more
europepmc   +1 more source