Results 161 to 170 of about 207,909 (303)

Low‐Carbon Optimal Scheduling of Multiple Virtual Power Plants Based on Asymmetric Nash Bargaining

open access: yesEnergy Science &Engineering, EarlyView.
ABSTRACT To effectively investigate the structural discrepancies and complementary energy characteristics among multiple virtual power plants (VPPs), and to improve the economic efficiency, low‐carbon performance, and operational reliability of the multi‐agent system, this paper proposes a low‐carbon collaborative optimal operation strategy for ...
Junjie Qiu   +5 more
wiley   +1 more source

Leveraging Machine Learning to Predict Food Waste Quantity: Focusing on Military Dining Facilities as Large‐Scale Food Service Operations

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Food waste reveals inefficiencies in resource use and contributes significantly to environmental pollution. In the United States, food waste accounts for the majority of total waste, with more than 50 million tons generated annually. In military units that operate large‐scale institutional food‐service facilities and generate significant food ...
YongSun Kim, Hyun Shik Yoon
wiley   +1 more source

Variation in pediatric egg and milk allergy management: A multinational survey in Ireland, Spain, and Canada. [PDF]

open access: yesPediatr Allergy Immunol
Gallagher A   +6 more
europepmc   +1 more source

Multifactorial Screening for Fine‐Scale Selection of CCS Industrial Clusters and Hubs in Brazil

open access: yesGreenhouse Gases: Science and Technology, EarlyView.
ABSTRACT As Brazil moves toward implementing its decarbonization commitments, carbon capture and storage (CCS) hubs are emerging as a key pathway for large‐scale CO2 abatement in hard‐to‐abate sectors. This paper presents a multifactorial, data‐driven framework to screen and prioritize potential CCS industrial clusters and hubs across Brazilian regions,
Gustavo P. Oliveira   +5 more
wiley   +1 more source

The volume of outpatient office visits did not increase for specialties that were more likely to adopt telehealth. [PDF]

open access: yesHealth Aff Sch
Lee JD   +8 more
europepmc   +1 more source

Home - About - Disclaimer - Privacy