ABSTRACT The derived demand for the increased demand for meat and dairy products is clearly observed in the fast‐paced growth of the Indian feed industry and its increased demand for agricultural commodities (e.g., corn, soybean, rice, wheat, broken rice, millet, etc.) as feed ingredients.
Dwiti Baruah Thapa +2 more
wiley +1 more source
Multi-objective evolutionary method for multi-area dynamic emission/economic dispatch considering energy storage and renewable energy units. [PDF]
Shahri HY, Hosseini SA, Pourhossein J.
europepmc +1 more source
ABSTRACT Objective Non‐operative management with antibiotics has emerged as an alternative to appendectomy for uncomplicated appendicitis. This study compared one‐year healthcare costs and utilization outcomes after operative versus non‐operative management of uncomplicated appendicitis using statewide administrative data.
Andrew C. Meltzer +5 more
wiley +1 more source
Trade Realignments and the Need for Integrated Modeling Research in Latin America's Agri‐Food Sector
Agribusiness, EarlyView.
Emiliano Lopez Barrera
wiley +1 more source
ABSTRACT Laparoscopic surgery is increasingly used to treat colonic diverticulitis; however, its role in emergency, perforated, high‐risk, and procedure‐specific settings remains uncertain. This structured narrative review evaluated and synthesized comparative evidence by clinical setting, operative strategy, and patient risk profile to provide a ...
Marie Hanaoka +4 more
wiley +1 more source
Sonocatalytic carbon dioxide reduction for syngas production over surface‐roughened CuxO catalyst
Abstract The transition to a carbon‐circular economy requires efficient technologies for converting CO2 into value‐added chemical feedstocks. Sonocatalytic CO2 conversion has recently emerged as a compelling approach to drive this conversion. Here, we report a surface‐roughened CuxO catalyst for sonocatalytic CO2 reduction in aqueous media, achieving a
Dong Xia +5 more
wiley +1 more source
Optimizing dynamic economic dispatch through an enhanced Cheetah-inspired algorithm for integrated renewable energy and demand-side management. [PDF]
Nagarajan K +5 more
europepmc +1 more source
Machine learning driven many‐objective moving horizon scheduling optimization
Abstract Industrial electrification can decarbonize chemical manufacturing, but it exposes operations to volatile electricity prices and carbon intensities. This work develops a machine learning‐enhanced many‐objective moving horizon scheduling framework that predicts objective correlation groupings from 48‐hour price and emission‐intensity profiles ...
Hongxuan Wang, Andrew Allman
wiley +1 more source
A low-carbon economic dispatch method for regional integrated energy system based on multi-objective chaotic artificial hummingbird algorithm. [PDF]
Cao J +5 more
europepmc +1 more source
Interpretable Short‐Term Electric Load Forecasting
A temporal fusion transformer is implemented to generate day‐ahead forecasts of the hourly electrical load of a departmentbuilding at an Italian university. A forecasting performance improvement of more than 25% compared with established benchmark models and a provision of inherent robust interpretability insights reveal the potential of this model for
Alessandro Nicola +6 more
wiley +1 more source

