Data driven scalability and profitability analysis in free floating electric car sharing systems

Ciociola, Alessandro; Giordano, Danilo; Vassio, Luca; Mellia, Marco

doi:10.1016/j.ins.2022.11.116

Cited by 4 publications

(2 citation statements)

References 35 publications

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“…Although each learner would have invested only about R1440 (about USD75) over the entire 12-year period, there is a chance to benefit from the mass sum and to share the profitability of the venture (Ciociola et al, 2023). The return on each learner's investment may exceed half a million rands, or about USD25 146 (Briagender, 2022) by the time that they complete matric after 12 years of schooling.…”

Section: Resultsmentioning

confidence: 99%

Encouraging wealth creation in children from poor families: a novel life skills approach

Molope,

Seeletse,

Ladzani

2023

IJRBS

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The article aims to promote financial literacy among youngsters from low-income backgrounds, encouraging them to engage in cost-effective investments that will enable them to accumulate wealth in the future. The article outlines a novel approach in life skills that entails shifting away from relying on uncertain grants and supports. Instead, it proposes utilizing a straightforward and practical mathematical model to generate money starting from a young age. The authors demonstrate that by utilizing a highly efficient investing option, young children have the ability to generate substantial wealth. To exemplify, we demonstrate the suggested methodology utilizing sequences and summations. Our method/proposal facilitates the enhancement of boundless wealth generation by enabling those who can invest more than the minimum requirement to accumulate greater wealth. The efficacy assessment of the new method is validated through the computation of the smallest investment, which is merely symbolic, yet yields boundless financial outcomes. The study findings, which have the potential to enhance governmental decision-making, can also be utilized for personal betterment. This work is innovative as it presents an alternative approach that imparts discipline, consistency, and honesty. It allows individuals to easily adopt the model with appropriate adjustments, hence facilitating the creation of wealth.

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Section: Resultsmentioning

confidence: 99%

Encouraging wealth creation in children from poor families: a novel life skills approach

Molope,

Seeletse,

Ladzani

2023

IJRBS

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show abstract

“…Companies and researchers are proposing innovative solutions including pricing strategies and smart charging [4][5][6][7][8]. However, their implementation requires a precise understanding of charging behaviours and better EV charging models are necessary in order to better understand the impact of EVs on the grid [9,10]. In particular, forecasting the occupancy of a charging station can be a critical need for utilities to optimise their production units according to charging demand.…”

mentioning

confidence: 99%

A benchmark of electric vehicle load and occupancy models for day-ahead forecasting on open charging session data

Amara-Ouali

Goude

Hamrouche

et al. 2022

Proceedings of the Thirteenth ACM International Conference on Future Energy Systems

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The development of electric vehicles (EV) is a major lever towards low carbon transportation. It comes with increasing numbers of charging infrastructures which can be smartly managed to control the CO2 cost of EV electricity consumption or used as flexible assets for grid management. To achieve that, an efficient day-ahead forecast of charging behaviours is required at different spatial resolutions (e.g., household and public stations). We propose an extensive benchmark of 14 models for both load and occupancy day-ahead forecasts, covering 8 open charging session datasets of different types (residential, workplace and public stations). Two modelling approaches are compared: direct and bottom-up. The direct approach forecasts the aggregated load (resp. occupation) directly of an area/station whereas the bottom-up approach models each individual EV charging session before aggregating them. This second approach is key to the effective implementation of smart charging strategies. We consider both machine learning models (Random Forests and Gated Recurrent Units) and statistical models (Generalised Additive Models, Poisson Regression, Mixture Regression, Auto-Regressive) in order to maximise the spectrum of our benchmark. We finally propose an adaptive aggregation strategy to assess the variety of forecasts at hand. Overall, we demonstrate that direct approaches reach better performances than bottom-up approaches across all datasets considered. We further show that the different approaches used can lead to an improved performance of direct approaches when using an adaptive aggregation strategy. In fact, our best model produces a forecast which is more than 5 times better relative to the persistence on residential data.

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Multi-objective reliability and cost optimization of fuel cell vehicle system with fuzzy feasibility

Mellal

Zio

Pecht

2023

Information Sciences

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Data driven scalability and profitability analysis in free floating electric car sharing systems

Cited by 4 publications

References 35 publications

Encouraging wealth creation in children from poor families: a novel life skills approach

Encouraging wealth creation in children from poor families: a novel life skills approach

A benchmark of electric vehicle load and occupancy models for day-ahead forecasting on open charging session data

Multi-objective reliability and cost optimization of fuel cell vehicle system with fuzzy feasibility

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