[HTML][HTML] Electrified heat and transport: Energy demand futures, their impacts on power networks and what it means for system flexibility

C McGarry, J Dixon, J Flower, W Bukhsh, C Brand… - Applied Energy, 2024 - Elsevier
Demand electrification, system flexibility and energy demand reduction (EDR) are three
central tenets of most energy system decarbonisation pathways in the UK and other high …

Prediction model of car ownership based on back propagation neural network optimized by particle swarm optimization

H Zhang, Y Li, L Yan - Sustainability, 2023 - mdpi.com
Aiming to address the problems of traditional BP neural networks, which include their slow
convergence speed and low accuracy, a vehicle ownership prediction model based on a BP …

Spatial models and neural network for identifying sustainable transportation projects with study case in querétaro, an intermediate Mexican city

AA Barreda-Luna, J Rodríguez-Reséndiz… - Sustainability, 2022 - mdpi.com
The construction of urban and transport indicators aims for a better diagnosis that enables
technical and precise decision-making for the public administration or private investment …

Open data for modelling the impacts of electric vehicles on UK distribution networks: Opportunities for a digital spine

I Flower, F Li, J Padget - IET Smart Grid, 2024 - Wiley Online Library
This paper provides a detailed overview of the current snapshot of available open data for
modelling the impacts of electric vehicles (EVs) on the UK distribution network, highlighting …

An Augmented Approach to Vehicle-Type Classification using Deep Transfer Learning Approaches with adam Optimizer

M Thakur, J Kaur, A Sharma - 2024 11th International …, 2024 - ieeexplore.ieee.org
Intelligent Transportation Systems (ITS) for an Internet of Things (IoT) Smart City are
primarily concerned with enhancing the safety, efficiency via information and communication …

Understanding the Determinants of Car Ownership: A Regression and Neural Network Study

O Kindvall, V Pettersson - 2023 - diva-portal.org
This thesis aims to understand the determinants of car ownership in the Swedish regions
containing the largest cities: Skåne, Stockholm, and Västra Götaland. This is done by …

[PDF][PDF] Car fleet synthesis for agent-based mobility models: a comparison of machine learning and discrete choice methods

M Lannes, N Coulombel, Y Roustan - 10th MATSim User Meeting, 2022 - ethz.ch
• Ridge classifer slightly outperforms linear discriminant and logistic regression• F1-score is
closer to 1 than to 0 for most classifiers, indicating a quite satisfying prediction• Cohen's …

[CITATION][C] Auswirkung von Fahrzeugautomatisierung auf den Pkw-Bestand: eine Prognose anhand eines Pkw-Verfügbarkeitsmodells

M Schrömbges - Dissertation, Rheinisch-Westfälische …