Results 171 to 180 of about 3,393 (263)

Integrated forecasting and deep reinforcement learning for price-based self-scheduling of PV-BESS: Utility-scale evidence in Chile. [PDF]

PLoS One
Pérez J, Lobos G, Bonacic M.
europepmc   +1 more source

Productivity and Emissions in Italian Agriculture: A Farm‐Level Efficiency Analysis

Business Strategy and the Environment, EarlyView.
ABSTRACT Achieving the European Union climate‐neutrality objectives requires metrics that jointly assess farm productivity and greenhouse gas emissions at a granular level. However, harmonized evidence for benchmarking the productivity–emissions nexus of Italian farms remains limited.
Giulio Fusco, Yari Vecchio, Margherita Masi, Michele Borgia   +3 more
wiley   +1 more source

Stochastic Improvement of Cyclic Railway Timetables

Real-time railway operations are subject to stochastic disturbances. However, a railway timetable is a deterministic plan. Thus a timetable should be designed in such a way that it can cope with the stochastic disturbances as well as possible.
Dekker, R., Vromans, M.J.C.M., Kroon, L.G., Retel Helmrich, M., Maroti, G.   +4 more
core  

Health state prediction with reinforcement learning for predictive maintenance. [PDF]

Front Artif Intell
Aglogallos A, Bousdekis A, Kontos S, Mentzas G.   +3 more
europepmc   +1 more source

Green Hydrogen for Public Transportation: Insights From an ABM and From Palma de Mallorca Case Study

Business Strategy and the Environment, EarlyView.
ABSTRACT The development of green hydrogen (GH2) value chains is crucial for decarbonizing sectors such as transport and industry. Their emergence, however, requires coordination among diverse actors, technologies, and regulations, which traditional analytical approaches struggle to capture.
Roberta De Cristofaro, Cristina Ponsiglione, Simonetta Primario   +2 more
wiley   +1 more source

Joint Optimization of User Association and Dynamic Multi-UAV Deployment for Maritime Emergency Communications. [PDF]

Entropy (Basel)
Ma X, Yang H, Xu Y, Wakamiya N.
europepmc   +1 more source

New statistics for the parameters estimation of the stochastic actor-oriented model for network change

, 2011
The Stochastic actor-oriented model (SAO) is a statistical model for longitudinal network data. The most often used procedure for the estimation of the parameter of the SAO model is the Method of Moments (MoM), which estimates the parameters using one observed statistic for each estimated parameter.
openaire   +1 more source

Operations Research‐Based Formalisation and Design of Sustainable Reverse Logistics for E‐Waste Supply Chains

Business Strategy and the Environment, EarlyView.
ABSTRACT This study demonstrates how a profitable, lean, and environmentally responsible e‐waste reverse logistics system can be designed using integrated Operations Research (OR) techniques. Addressing the growing urgency of responsible consumption (UN SDG 12) and the projected rise of the e‐waste sector to USD 137.60 billion by 2029, the research ...
Sheeba Pathak, Hajar Fatorachian
wiley   +1 more source

Reinforcement learning for dynamic speed control in connected and autonomous vehicles: A review of applications and challenges. [PDF]

iScience
Alhmiedat T, Albelwi S, Alotaibi M, Mustafa M, Alquier F, Gochoo M, Alnajjar F.   +6 more
europepmc   +1 more source

An Indicator‐Based Decision Framework for Circular Bioeconomy Transition in the Steel Industry: Integrating Multiphase Learning and Cooperative Game Modelling

Business Strategy and the Environment, EarlyView.
ABSTRACT Despite growing attention to the circular bioeconomy (CBE), the steel industry currently lacks a standardised, sectoral measurement framework to facilitate a low‐carbon transition. In this study, a decision‐support framework for evaluating CBE performance in the steel industry is proposed.
Ali Zamani Babgohari, Mohammadreza Sadeghi‐Moghadam, Hannan Amoozad Mahdiraji   +2 more
wiley   +1 more source