{"title":"Research on the Development Path of Low Carbon Economy of Circular Agriculture from the Perspective of Sustainable Development","authors":"张 华国","doi":"10.12677/JLCE.2021.102003","DOIUrl":"https://doi.org/10.12677/JLCE.2021.102003","url":null,"abstract":"","PeriodicalId":91573,"journal":{"name":"Low carbon economy","volume":"10 1","pages":"21-26"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66125842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Wind Energy Prediction Using Machine Learning","authors":"Adrian-Nicolae Buturache, Stelian Stancu","doi":"10.4236/LCE.2021.121001","DOIUrl":"https://doi.org/10.4236/LCE.2021.121001","url":null,"abstract":"Wind energy prediction represents an important and active field in the renewable energy sector. Since renewable energy sources are integrated into existing grids and combined with traditional sources, knowing the amount of energy that will be produced is key in minimizing the operational cost of the wind farm and safe operation of the power grid. In this context, we propose a comparative and comprehensive study of artificial neural networks, support vector regression, random trees, and random forest, and present the pros and cons of implementing the aforementioned techniques. A step-by-step approach based on the CRISP-DM data mining framework reveals the thought process end-to-end, including feature engineering, metrics selection, model selection, or hyperparameter tuning. Using the selected metrics for model evaluation, we provide a summary highlighting the optimal results and the trade-off between performance and the resources expended to achieve these results. This research is also intended to provide guidance for wind energy professionals, filling the gap between purely academic research and real-world business use cases, providing the exact architectures and selected hyperparameters.","PeriodicalId":91573,"journal":{"name":"Low carbon economy","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70494758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mai Kim Liên, N. Huyen, Nguyễn Thành Công, N. Minh
{"title":"Exploring Potential Participation of Vietnam in the Carbon Market","authors":"Mai Kim Liên, N. Huyen, Nguyễn Thành Công, N. Minh","doi":"10.4236/lce.2020.112002","DOIUrl":"https://doi.org/10.4236/lce.2020.112002","url":null,"abstract":"Currently, \u0000the development of the carbon market is considered as an urgent requirement because it contributes to creating \u0000certain economic values and protecting the environment and sustainable \u0000development of a country. In addition, this instrument can also enhance \u0000diplomatic relations through scientific, technological and financial \u0000investments among countries all over the world. Vietnam is assessed as having \u0000potential to reduce its greenhouse gas (GHG) emissions by 9% compared to the \u0000Business-As-Usual scenario by 2030 using \u0000domestic resources (equivalent to 83.9 million tons of CO2eq). \u0000The above-mentioned 9% contribution can be increased \u0000by up to 27% (equivalent to 250.8 million tons of CO2eq) if the country can receive the \u0000international support through bilateral and multilateral cooperation as well as \u0000the implementation of new mechanisms under the Paris Agreement. The paper gives \u0000an overview of a number of domestic carbon markets in some countries and \u0000assesses the potential for developing Vietnam’s carbon market.","PeriodicalId":91573,"journal":{"name":"Low carbon economy","volume":"11 1","pages":"25-43"},"PeriodicalIF":0.0,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46757467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Towards Urban Energy Management: A Brief Review of China’s Recent Transition in Urban Energy Demand","authors":"A. Cheshmehzangi","doi":"10.4236/lce.2020.111001","DOIUrl":"https://doi.org/10.4236/lce.2020.111001","url":null,"abstract":"It is widely accepted the lifeblood of urban economy \u0000and growth is energy. Urban transport, \u0000infrastructure, industry, and dwellings dominate energy consumption in \u0000the built environment. Nevertheless, energy efficiency in urban growth is a key \u0000factor that is widely questioned and little understood. As a result, this paper \u0000aims to question challenging matters of urban growth and energy by reviewing \u0000China’s recent transition in urban energy demand. This study offers a better understanding \u0000of urban energy management and energy demands \u0000of rapidly urbanizing countries, by using China as a leading example. Since the 1980s, after the unprecedented rapid \u0000urbanization and growth in China, there are major goals to tackle the \u0000emerging matters of urban energy management and growing energy demands. These \u0000national-level challenges are imposing serious threats to how cities grow and \u0000are managed in the coming decade or so. In light of this, and the face of rapid \u0000urbanization and urban growth, this paper investigates China’s current trends \u0000of urban energy management and energy demands. Finally, this paper explores \u0000current approaches to urban development in \u0000China and will offer an overview of China’s requirement to tackle its current energy challenges. The \u0000findings of this study are highlighted as part of a brief review of \u0000China’s recent five-year-plans and are then developed further in the light of \u0000what energy targets mean for cities and urban management.","PeriodicalId":91573,"journal":{"name":"Low carbon economy","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45546545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on Low-Carbon Tourism Development in Tourist Areas in China","authors":"童童 杨","doi":"10.12677/jlce.2020.92014","DOIUrl":"https://doi.org/10.12677/jlce.2020.92014","url":null,"abstract":"","PeriodicalId":91573,"journal":{"name":"Low carbon economy","volume":"09 1","pages":"131-136"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66125267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Empirical Study on Environmental Kuznets Curve of Jinan City","authors":"书洋 陈","doi":"10.12677/jlce.2020.92015","DOIUrl":"https://doi.org/10.12677/jlce.2020.92015","url":null,"abstract":"","PeriodicalId":91573,"journal":{"name":"Low carbon economy","volume":"11 1","pages":"137-146"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66125327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Influencing Factors and Peak Values of Carbon Emission Based on STIRPAT Model—Taking Shandong Province as an Example","authors":"振月 范","doi":"10.12677/jlce.2020.92011","DOIUrl":"https://doi.org/10.12677/jlce.2020.92011","url":null,"abstract":"","PeriodicalId":91573,"journal":{"name":"Low carbon economy","volume":"15 1","pages":"100-110"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66125555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Impact of Technology Spillovers on Carbon Emissions from New Energy Import Industries along the “One Belt and One Road” Countries","authors":"铭锴 黄","doi":"10.12677/jlce.2020.91002","DOIUrl":"https://doi.org/10.12677/jlce.2020.91002","url":null,"abstract":"","PeriodicalId":91573,"journal":{"name":"Low carbon economy","volume":"09 1","pages":"10-17"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66124724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Empirical Study on Economic Development and Environment Pollution in Fujian Based on Kuznets Curve Theory","authors":"家兴 黄","doi":"10.12677/jlce.2020.92009","DOIUrl":"https://doi.org/10.12677/jlce.2020.92009","url":null,"abstract":"This paper based on the environmental Kuznets theory, taking Fujian Province as an example, uses Python to estimate the EKC curve of the data, and analyzes the function curve between the degree of environmental pollution and economic development. Based on the environmental and economic statistics of Fujian Province from 2003 to 2017, this paper selects the representative environmental pollution index and economic development index, through the trend analysis of economic development and environmental pollution situation in the next few years, constructs the measurement model of “three wastes” emissions and per capita GDP in Fujian Province, and thus makes an empirical analysis of the Kuznets curve characteristics of environmental pollutant emissions in Fujian Province.","PeriodicalId":91573,"journal":{"name":"Low carbon economy","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66125431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}