scholarly journals Deep Learning-Based Economic Forecasting for the New Energy Vehicle Industry

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Bowen Cai
Keyword(s):  
Air Pollution ◽  
Deep Learning ◽  
Rapid Development ◽  
Annual Reports ◽  
Policy Makers ◽  
Fuel Prices ◽  
Reference Information ◽  
New Energy ◽  
Economic Markets ◽  
New Energy Vehicle

Recently the issues of insufficient energy and serious air pollution around the world have been rising. Henceforth, there is a need to carry out a research of new energy. Soon, new energy vehicles will be the mainstream trend, which can not only reduce the burden of consumers due to rising fuel prices but also solve the air pollution problem caused by the exhaust emissions of fuel vehicles. With the rapid development of science and technology, deep learning continues to make breakthroughs, and, in the field of economy with huge information data, we have more powerful weapons available to predict and research important economic data with infinite value, which can not only provide reference information to policy makers but also help enterprises and even economic markets to develop more healthily and sustainably. Therefore, this article uses deep learning algorithms to forecast and analyze the new energy industry, starting from the financial information released by new energy vehicle companies in their annual reports, in order to make basic judgments and help policy makers and enterprises in the new energy vehicle industry.

Forecast on China's New Energy Vehicle Market Demand

2014 ◽  
Vol 496-500 ◽  
pp. 2822-2826 ◽  
Author(s):  
Jian Shi ◽  
Bin Liu ◽  
Yong He Huang ◽  
Hua Liang Hou
Keyword(s):  
Market Share ◽  
Rapid Development ◽  
Developed Countries ◽  
Market Demand ◽  
Financial Policies ◽  
The Us ◽  
New Energy ◽  
The Government ◽  
New Energy Vehicle ◽  
New Energy Vehicles

With the rapid development of new energy vehicle in China, the volume has been the hot topic in the fields of automotive industry. A series of subsidy and financial policies has been released by the government. Peoples in this industry care about the effective of the policies especially the new energy vehicles volume and market share in China. In this paper, we analysis the development experience of developed countries such as the US and Japan, and calculate the new energy vehicles volume and market share in China from 2015 to 2020 by model. Its more effective to the government department to draw a plan of new energy vehicle development blue print.

scholarly journals Vehicle emission and atmospheric pollution in China: problems, progress, and prospects

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e6932 ◽  
Author(s):  
Jin Wang ◽  
Qiuxia Wu ◽  
Juan Liu ◽  
Hong Yang ◽  
Meiling Yin ◽  
...  
Keyword(s):  
Air Pollution ◽  
Atmospheric Pollution ◽  
Rapid Development ◽  
Vehicle Emission ◽  
Policy Makers ◽  
The World ◽  
Vehicle Market ◽  
Insight Into ◽  
Technical Revolution

China has been the largest vehicle market in the world since 2009. The stalemate between the rapid development of the vehicle industry and delayed vehicle emission control has become increasingly prominent. Vehicle emission has become a significant source of air pollution in China’s cities. Understanding the current barriers in the vehicle industry is necessary for the development of effective and sustainable measures and policy to manage vehicle-induced air pollution. This review provides insight into the circumstances and causes of vehicle-induced air pollution and outlines recent progress in policy-makers’ long-term strategies and regulations. The development of an integrated mechanism of social participation, technical revolution, and regulatory innovation in vehicles, fuel, and roads is suggested to break the stalemate between air pollution and the automobile boom in China; the implications of this review extend to other countries facing the similar atmospheric pollution problems.

scholarly journals A Brief Analysis and Suggestions on the Current Situation of New Energy Vehicles in China

2021 ◽  
Vol 6 (1) ◽  
pp. 103
Author(s):  
Tianzuo Guan
Keyword(s):  
Automobile Industry ◽  
Rapid Development ◽  
Social Economy ◽  
Economic Incentives ◽  
Existing Problems ◽  
New Energy ◽  
The Government ◽  
New Energy Vehicle ◽  
Policy Incentives ◽  
New Energy Vehicles

With continuous development of China’s economy in the past two decades, people’s living conditions have been greatly improved. The improved living quality boosts the prosperity of the automobile industry in China. However, whilst the popularity of automobiles promotes the rapid development of social economy and modern civilization, it also brings severe energy and environmental problems. The government pays great attention to these problems, and promotes the development of new energy vehicle industry by issuing various policies and encouraging consumers to actively buy new energy vehicles. However, under these policy incentives and economic incentives, the domestic new energy vehicle industry did not present the expected market response. This paper briefly describes the development status and existing problems of domestic new energy vehicle industry, and puts forward some feasible suggestions.

scholarly journals Analysis of Fine Gained Air Quality Using Deep Learning

2021 ◽  
Vol 9 (VII) ◽  
pp. 2169-2175
Author(s):  
Shivangi Singh
Keyword(s):  
Air Pollution ◽  
Deep Learning ◽  
Particulate Matter ◽  
Air Quality ◽  
Clustering Algorithm ◽  
Rapid Development ◽  
Image Processing Technique ◽  
Feature Analysis ◽  
Air Pollution Control ◽  
Respirable Particulate

With the rapid development of industrialization and urbanization, air pollution is increasing at an alarming rate in many developing countries. The four air pollutants which are becoming a concerning threat to human health are namely respirable particulate matter, nitrogen oxides, particulate matter and sulphur dioxide. The models which are currently used for air quality prediction by comparing to the AQI indexes do not give satisfactory results, which inspired us to examine the methods of predicting air quality based on deep learning using the K-Mean Clustering algorithm and Image Processing Technique. The interpolation, prediction, and feature analysis of fine-gained air quality are three important topics in the area of air computing. A good interpolation helps to estimate the limited air quality monitoring stations whose distribution is uneven in a city; an accurate prediction provides valuable information to protect humans and take necessary measures to reduce the effect of air pollution; a reasonable feature analysis is used to provide a more effective and general model. Overall, finding solutions to these topics can bring out extremely useful information to support air pollution control, and consequently generate great societal and technical impacts.

scholarly journals How to Evaluate the Performance of Traction Battery for Electric Vehicles

2021 ◽  
Vol 2 (2) ◽  
Keyword(s):  
Performance Test ◽  
Rapid Development ◽  
Test And Evaluation ◽  
Technical Requirements ◽  
Multi Stage ◽  
New Energy ◽  
Testing Technology ◽  
Vehicle Demand ◽  
New Energy Vehicle ◽  
Vehicle Testing

With the rapid development of new energy vehicle technology, how to test and evaluate the performance of a traction battery has become a key issue in the field of new energy vehicle testing technology. Starting from the technical requirements of vehicle traction battery, this mini review introduces the key contents of battery performance test and evaluation from vehicle level and battery level respectively. Furthermore, based on the actual vehicle demand, the influence of electricity quality and feedback current on the performance of battery is introduced, and the feasibility of multi-stage reuse of traction battery is discussed.

scholarly journals The Innovation Way of Fuel Cell New Energy Vehicle

2020 ◽  
Vol 9 (1) ◽  
pp. 23
Author(s):  
Yue Zhang
Keyword(s):  
Environmental Pollution ◽  
Automobile Industry ◽  
Rapid Development ◽  
Rich Variety ◽  
Initial Stage ◽  
Development Direction ◽  
Main Development ◽  
New Energy ◽  
New Energy Vehicle ◽  
China's Automobile Industry

<p>China's automobile industry has made rapid development in recent years, but the environmental pollution caused by automobile exhaust is also very serious. In order to reduce the environmental pollution caused by automobiles, new energy automobiles have become the main development direction of the automobile industry. Fuel cells are one of the new energy sources. Although China has a very rich variety of fuels, the research and development of new energy vehicles is still in its initial stage and still faces severe tests.</p>

scholarly journals Analysis on key maintenance technologies of new energy vehicles

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Hongda Cao
Keyword(s):  
Air Pollution ◽  
Sustainable Development ◽  
Development Strategy ◽  
Economic Level ◽  
Transportation Modes ◽  
National Economic ◽  
New Energy ◽  
Main Factors ◽  
New Energy Vehicle ◽  
New Energy Vehicles

With the continuous development of the society and improvement of the national economic level in China, people's life has undergone enormous changes in many aspects, the demand for transportation has gradually increased, and various transportation modes have emerged. At present, environmental pollution is becoming increasingly serious as automobile exhaust has become one of the main factors of air pollution. Under such circumstances, new energy vehicles have emerged and become increasingly popular in society, actively responding to the scientific and sustainable development strategy called for by China's government. This paper mainly studies the maintenance technology of new energy vehicle engines, hoping to provide help for the development of China's new energy vehicle industry.

The Application of UX Research in New Energy Vehicle Innovation

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Menghan TAO ◽  
Ning XIAO ◽  
Xingfu ZHAO ◽  
Wenbin LIU
Keyword(s):  
Early Stage ◽  
Rapid Expansion ◽  
The Other ◽  
Innovative Product ◽  
Stage Of Development ◽  
New Energy ◽  
New Energy Vehicle ◽  
The One ◽  
New Energy Vehicles ◽  
Degree Of Innovation

New energy vehicles(NEV) as a new thing for sustainable development, in China, on the one hand has faced the rapid expansion of the market; the other hand, for the new NEV users, the current NEVs cannot keep up with the degree of innovation. This paper demonstrates the reasons for the existence of this systematic challenge, and puts forward the method of UX research which is different from the traditional petrol vehicles research in the early stage of development, which studies from the user's essence level, to form the innovative product programs which meet the needs of users and being real attractive.

Effect of transport measures and curfew against COVID-19 spread on air pollution (TSP) in Ecuador’s three most populous cities

2020 ◽  
Keyword(s):  
Air Pollution ◽  
Sustainable Consumption ◽  
State Level ◽  
Emergency Situation ◽  
Traffic Emission ◽  
Policy Makers ◽  
Total Suspended Particulates ◽  
Level Ii ◽  
Pm2.5 And Pm10 ◽  
Future Consequences

Although current circumstances pose challenges to foretelling the future consequences of coronavirus spread, we consider environmental load-related researches became more and more important nowadays perhaps as never before. Many experts believe that the increasingly dire public health emergency situation, policy makers and word leaders should make it possible that the COVID-19 outbreak contributes to a transition of sustainable consumption. With the purpose of contributing to rethink the importance of sustainability efforts, here we present total suspended particulates (TSP) results which represent traffic emission caused air pollution in the three most populous cities of Ecuador obtained before, during, and after the: (i) the traffic measures entered into force on state level; (ii) curfew entered into force on state level; (iii) and quarantine entered into force (in Guayaquil, and whole Guayas province). We documented significant decrease in TSP emissions (PM2.5 and PM10) compared to normal traffic operation obtained from some four lanes roads in Quito, Guayaquil, and Cuenca. The most remarkable fall in suspended particulate values (96.47% decrease in PM2.5) compared to emission observed before traffic measures occurred in Cuenca.

Sign in / Sign up

Export Citation Format

Share Document