Research Article
A Cost model for Battery Chargers over Energy Optimisation and Social Results
@INPROCEEDINGS{10.4108/eai.27-10-2023.2341988, author={Jianan Shan and Bu Yu and Shaonan Feng and Haoli Chen}, title={A Cost model for Battery Chargers over Energy Optimisation and Social Results}, proceedings={Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27--29, 2023, Tianjin, China}, publisher={EAI}, proceedings_a={ICEMBDA}, year={2024}, month={1}, keywords={linear regression likert scale market complementary model single objective planning mode}, doi={10.4108/eai.27-10-2023.2341988} }- Jianan Shan
Bu Yu
Shaonan Feng
Haoli Chen
Year: 2024
A Cost model for Battery Chargers over Energy Optimisation and Social Results
ICEMBDA
EAI
DOI: 10.4108/eai.27-10-2023.2341988
Abstract
The electricity demands from battery charging of an increasing number of electric cars and 5th-generation smartphones produce a huge cost. Thus, a cost model [1] is desired with respect to solving the four emerging issues as follows: Problem 1. We analyse the recent data from electricity consumption in the United States and synthesise the development process of 5G technology with the market occupation ratio of electric vehicles. We make predictions on the requirements of energy and electricity in the following five years in the United States through the data regression by curve fitting using Matlab. We will discuss the impact from economic and social aspects.
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