Results 191 to 200 of about 1,276,641 (352)

Livestock Tango: U.S. and Latin America Dance Together, but Who Will Lead?

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT This study examines the competitiveness between Latin American and U.S. livestock and meat sectors. We employ a computable general equilibrium modeling framework to evaluate two scenarios: coordinated improvements in Latin American productivity, transport efficiency, and market access (Scenario I), and the minimum productivity gains required ...
Taís C. Menezes, Amanda M. Countryman, Dustin L. Pendell   +2 more
wiley   +1 more source

Wind power probabilistic forecast in the Reproducing Kernel Hilbert Space

, 2016
Cristóbal Gallego‐Castillo, Alvaro Cuerva‐Tejero, Ricardo J. Bessa, Laura Cavalcante   +3 more
openalex   +2 more sources

Reproducing Kernel Functions

, 2018
Akgül, Ali, Akgül, Esra Karatas
openaire   +3 more sources

Markets Mitigate Land‐Use Competition From Energy Crops and Increase Farm Revenues

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Meeting the US Sustainable Aviation Fuel Grand Challenge target of 35 billion gal annually by 2050 will require an estimated 380 million–700 million dry tons of agricultural biomass feedstock. This study evaluates the implications of large‐scale biomass production for land use, crop production, and market outcomes under mature market ...
Daniel G. De La Torre Ugarte, Matthew H. Langholtz, Chad M. Hellwinckel   +2 more
wiley   +1 more source

The impact of the exponential Kernel's bandwidth parameter on learning algorithms. [PDF]

Sci Rep
Almahdawi MA.
europepmc   +1 more source

Probabilistic Modeling for Prediction Errors to Enhance Balancing Market Participation of Photovoltaic Systems: Error Threshold Estimation, Multisite Aggregation, and Overloading Effects

Advanced Energy and Sustainability Research, EarlyView.
This study proposes a method to increase the value of solar power in balancing markets by managing prediction errors. The approach models prediction uncertainties and quantifies reserve requirements based on a probabilistic model. This enables the more reliable participation of photovoltaic plants in balancing markets across multiple sites, especially ...
Jindan Cui, Xue Fang, Takashi Oozeki, Yuzuru Ueda   +3 more
wiley   +1 more source

Power of a reproducing kernel-based method for testing the joint effect of a set of single-nucleotide polymorphisms. [PDF]

Genetica, 2012
He H, Zhang H, Maity A, Zou Y, Hussey J, Karmaus W.   +5 more
europepmc   +1 more source

Scalable Learning in Reproducing Kernel Krein Spaces

, 2018
Dino Oglić, Thomas Gärtner
openalex   +2 more sources

From deep to Shallow: Equivalent Forms of Deep Networks in Reproducing Kernel Krein Space and Indefinite Support Vector Machines [PDF]

, 2020
Alistair Shilton, Gupta, Sunil, Rana, Santu, Venkatesh, Svetha   +3 more
openalex   +1 more source

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

Advanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang, Jiayi Tan, Qizhen Song, Tian Du, Jens Hauch, Christoph J. Brabec   +5 more
wiley   +1 more source