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 +2 more
wiley +1 more source
Analysis of Resistance in Magnetic Flux Leakage (MFL) Detectors for Natural Gas Pipelines. [PDF]
Sensors (Basel)Zhang Z, Chen X, Tai C, Tian G, Han G.
europepmc +1 more source
Machine learning driven many‐objective moving horizon scheduling optimization
AIChE Journal, EarlyView.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
Simulation and experiment of leakage and diffusion of natural gas pipelines with different burial depths under different pressures. [PDF]
Sci RepZhang C, Hu Y, Dong Z, Yang Z, Yi D.
europepmc +1 more source
Deliverability and regional pricing in U.S. natural gas markets [PDF]
During the 1980s and early '90s, interstate natural gas markets in the United States made a transition away from the regulation that characterized the previous three decades.
Mine K. Yucel, Stephen P.A. Brown
core
AIChE Journal, EarlyView.Abstract Despite the growing use of ML in chemical engineering, the catalytic conversion of sulfur dioxide (SO2) to sulfur trioxide (SO3) remains underexplored from a data‐driven modeling perspective. This study evaluates an integrated workflow for literature‐derived SO2 oxidation data, combining data curation, preprocessing assessment, machine ...
Farough Agin +2 more
wiley +1 more source
Scheduling optimization based on particle swarm optimization algorithm in emergency management of long-distance natural gas pipelines. [PDF]
PLoS OneGuo H, Huang R, Cheng S.
europepmc +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
Advanced Intelligent Discovery, EarlyView.This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Study on Horizontal Leakage Diffusion Characteristics of Small and Medium Aperture in High-Pressure Natural Gas Pipelines with Large Open Spaces. [PDF]
ACS OmegaZhang S, Li J, Wang X, Zhang J.
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 +5 more
wiley +1 more source