Truck mobile energy storage system effects on the costs of electric taxis DOI Creative Commons
Kianoush Zarghami Vahid, Mahdi Zolfaghari, Felix Mannerhagen

et al.

Heliyon, Journal Year: 2025, Volume and Issue: unknown, P. e43070 - e43070

Published: March 1, 2025

A B S T R C TThe rapid growth of battery electric vehicles (BEVs) usage causes severe challenges for charging infrastructure. Despite the numerous merits stationary energy storage systems (SESSs) BEVs, they cannot solve all financers and EV customers because SESSs involve a series limitations, such as lack proper electrical infrastructure or construction space in some areas, high costs, users' satisfaction level. For this purpose, truck mobile (TMESSs) can play complementary role BEVs' to provide optimal operation electricity networks charge management BEVs. In paper, effects TMESSs on decreasing costs taxis part public transportation system are analyzed through multi-charger proposal model terms time maintenance costs. case study Chattanooga, Tennessee, USA, validated using GAMS software, demonstrating that reduce taxis' (the total operational cost) by 49%, decrease 55%, improve user levels significantly. These findings suggest offer viable solution lower taxi while enhancing flexibility efficiency.

Language: Английский

Predictive Analytics and Big Data in Forecasting Recycling Trends DOI

Aparna Unni,

Harpreet Kaur Channi

Advances in environmental engineering and green technologies book series, Journal Year: 2025, Volume and Issue: unknown, P. 177 - 210

Published: Jan. 16, 2025

Predictive analytics and big data enhance recycling by analyzing social media, sensors, municipal data. Advanced algorithms manage resource allocation operations, forecasting trends from population growth economic factors. Machine learning identifies patterns predicts future rates. In India (2010-2024), Python's Pandas Scikit-learn used linear regression to forecast trends, showing annual increases. Residuals analysis confirms model accuracy, suggesting that strategies are effective room for improvement exists.

Language: Английский

Citations

0
Truck mobile energy storage system effects on the costs of electric taxis DOI Creative Commons
Kianoush Zarghami Vahid, Mahdi Zolfaghari, Felix Mannerhagen

et al.

Heliyon, Journal Year: 2025, Volume and Issue: unknown, P. e43070 - e43070

Published: March 1, 2025

A B S T R C TThe rapid growth of battery electric vehicles (BEVs) usage causes severe challenges for charging infrastructure. Despite the numerous merits stationary energy storage systems (SESSs) BEVs, they cannot solve all financers and EV customers because SESSs involve a series limitations, such as lack proper electrical infrastructure or construction space in some areas, high costs, users' satisfaction level. For this purpose, truck mobile (TMESSs) can play complementary role BEVs' to provide optimal operation electricity networks charge management BEVs. In paper, effects TMESSs on decreasing costs taxis part public transportation system are analyzed through multi-charger proposal model terms time maintenance costs. case study Chattanooga, Tennessee, USA, validated using GAMS software, demonstrating that reduce taxis' (the total operational cost) by 49%, decrease 55%, improve user levels significantly. These findings suggest offer viable solution lower taxi while enhancing flexibility efficiency.

Language: Английский

Citations

0