Results 101 to 110 of about 278,525 (306)

From Ship to Shore: A Review of Vessel‐To‐Grid Bidirectional Charging for Sustainable Maritime Transport

EcoEnergy, EarlyView.
As maritime transport electrifies, bidirectional charging (V2G) offers a dual‐purpose solution for energy resilience and economic viability. This work identifies key technological advancements and lifecycle challenges utilizing practical case studies to demonstrate how V2G systems can drive decarbonization and grid stability in the marine sector ...
Jonathan Bloor, Tamer Kamel, Sarah Fear, Lee J. Durndell   +3 more
wiley   +1 more source

DAUD: A data driven algorithm to find discrete approximations of unknown continuous distributions

SoftwareX
Discrete approximation of continuous probability distributions is applied in solving large-scale intractable stochastic models in engineering, business and economics.
Atiq W. Siddiqui, Manish Verma, Syed Arshad Raza   +2 more
doaj   +1 more source

Speculation and Volatility Spillover in the Crude Oil and Agricultural Commodity Markets: A Bayesian Analysis [PDF]

This paper assesses the roles of various factors influencing the volatility of crude oil prices and the possible linkage between this volatility and agricultural commodity markets.
Du, Xiaodong, Hayes, Dermot J., Yu, Cindy L.   +2 more
core   +1 more source

Solid Biofuel Usage and Households' Behavior Toward Energy Choice in Northwest Ethiopia

Energy Science &Engineering, EarlyView.
This study analyzed household energy choice behavior in northwest Ethiopia using an integrated energy stacking and decision‐making framework. Evidence shows dominant reliance on solid biomass and a fuel‐stacking pattern, while urban residences, higher income, and education increase clean energy adoption, highlighting the need for pro‐poor, context ...
Habtamu Setargachew Molla, Zemen Ayalew Ayele, Essa Chanie Mussa, Marelign Adugna Mesele   +3 more
wiley   +1 more source

INCORPORATING SAFETY-FIRST CONSTRAINTS IN LINEAR PROGRAMMING PRODUCTION MODELS [PDF]

A recent survey indicated that many procedures view risk in a safety-first context. Traditional methods used to impose safety-first constraints in optimization models have often been difficult to implement.
Atwood, Joseph A., Held, Larry J., Helmers, Glenn A., Watts, Myles J.   +3 more
core   +1 more source

Optimizing Electric Vehicle Charging Scheduling With Deep Q Networks and Long Short‐Term Memory‐Based Electricity and Battery State of Charge Prediction

Energy Science &Engineering, EarlyView.
Schematic diagram showing the proposed approach for EV charging/discharging. ABSTRACT The number of electric vehicles (EVs) on the road is rising as a result of recent advancements in EV technology, and EVs are important to the smart grid economy. Demand response schemes involving electric vehicles have the potential to dramatically reduce the cost of ...
F. Zonuntluanga, Subhasish Deb, Kshetrimayum Robert Singh, Subir Datta, Ahmet Onen, Taha Selim Ustun, Jaesung Jung   +6 more
wiley   +1 more source

Risk premiums and certainty equivalents of loss-averse newsvendors of bounded utility

Journal of Industrial Engineering International, 2019
Loss-averse behavior makes the newsvendors avoid the losses more than seeking the probable gains as the losses have more psychological impact on the newsvendor than the gains. In economics and decision theory, the classical newsvendor models treat losses
Doraid Dalalah
doaj   +1 more source

Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning

Energy Science &Engineering, EarlyView.
The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari, Seyyed Mohammad Hashemi, Meisam Farajollahi   +2 more
wiley   +1 more source

Economic implications of artificial intelligence-driven recommended systems in healthcare: a focus on neurological disorders

Frontiers in Public Health
IntroductionThe rapid advancement of Artificial Intelligence (AI)-driven recommendation systems in healthcare presents significant economic implications, particularly in the context of neurological disorders.
Jing Zhang, Shihui Xiang, Li Li
doaj   +1 more source

Non-linear models: applications in economics [PDF]

The study concentrated on demonstrating how non-linear modelling can be useful to investigate the behavioural of dynamic economic systems. Using some adequate non-linear models could be a good way to find more refined solutions to actually unsolved ...
Albu, Lucian-Liviu
core   +1 more source