2019 2nd Asia Conference on Energy and Environment Engineering (ACEEE)最新文献

Summary of Research on Power Forecasting Technology of New Energy Generation 新能源发电功率预测技术研究综述

2019 2nd Asia Conference on Energy and Environment Engineering (ACEEE) Pub Date : 2019-06-08 DOI: 10.1109/ACEEE.2019.8817045

F. Yu, Cun Dong, Jiandong Jiang

引用次数: 2

Design of Biped Bionic Climbing Rod Robot with Obstacle Function 具有障碍功能的两足仿生攀爬杆机器人设计

2019 2nd Asia Conference on Energy and Environment Engineering (ACEEE) Pub Date : 2019-06-08 DOI: 10.1109/ACEEE.2019.8816999

Wu Shaolei, Feng Yu, Guo Feng, Cheng Kai, Zhou Yu, Jiang Xingyu

引用次数: 0

Sustainable Development: Drivers of Consumer Food Wasting 可持续发展:消费者食物浪费的驱动因素

2019 2nd Asia Conference on Energy and Environment Engineering (ACEEE) Pub Date : 2019-06-08 DOI: 10.1109/ACEEE.2019.8816920

Hsiu‐Hua Chang

{"title":"Sustainable Development: Drivers of Consumer Food Wasting","authors":"Hsiu‐Hua Chang","doi":"10.1109/ACEEE.2019.8816920","DOIUrl":"https://doi.org/10.1109/ACEEE.2019.8816920","url":null,"abstract":"Food waste, the kind of ethical issue, would lead to a significantly negative impact on social, economic, and ecological environment, and is an increasingly discussed topic in recent years. While a magnitude of food waste is generated by individual and household, consumers’ attitudes and behaviors play a vital role in the food supply chain. However, systematic research on food waste through consumer perspectives, especially in the consumer/household level, is missing. This study tries to explore the cultural and psychological factors that influence consumers' ethical norms and behavioral intention toward food waste based on Hunt and Vitell's ethical decision-making model. The results show that consumers would face an ethical dilemma when they decide to act for self-interests or social conflict. Materialism and individualism can significant influence consumers’ ethical norms. Consumers’ ethical behavioral intentions toward food waste would be also affected by ethical norms. Exploring and understanding consumer motives toward food waste attitudes and behaviors can submit some insights based on this study’s findings to avoid food waste behavioral intentions and thus to decline social and environmental damage. Some theatrical and managerial contributions are finally discussed in this study.","PeriodicalId":6679,"journal":{"name":"2019 2nd Asia Conference on Energy and Environment Engineering (ACEEE)","volume":"69 1","pages":"16-19"},"PeriodicalIF":0.0,"publicationDate":"2019-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74994415","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}

引用次数: 1

Research on Integrating Wind Turbine into Intelligent IEC 61850 Substation Automation 风电机组集成到IEC 61850智能变电站自动化系统的研究

2019 2nd Asia Conference on Energy and Environment Engineering (ACEEE) Pub Date : 2019-06-08 DOI: 10.1109/ACEEE.2019.8816993

J. Gu, Chun-Hung Liu, Ming-Ta Yang, Dai-Ling Tsai

引用次数: 1

Characteristics of CO2 Circulating Absorption by Sodium Humate and Potassium Carbonate 腐植酸钠和碳酸钾循环吸收CO2的特性

2019 2nd Asia Conference on Energy and Environment Engineering (ACEEE) Pub Date : 2019-06-08 DOI: 10.1109/ACEEE.2019.8817051

Shichao Jia, Zhiguo Sun, Luhan Chen, Menglu Wang, R. Feng

引用次数: 0

Research on Safety Monitoring Technology of Intelligent Substation Intranet 智能变电站Intranet安全监控技术研究

2019 2nd Asia Conference on Energy and Environment Engineering (ACEEE) Pub Date : 2019-06-08 DOI: 10.1109/ACEEE.2019.8816903

Liya Ma, Bin Zhou, L. Yuan

引用次数: 1

Research on Electricity Demand Forecasting Model and Application of China Adapting to Supply-Side Structural Reform 中国适应供给侧结构性改革的电力需求预测模型及应用研究

2019 2nd Asia Conference on Energy and Environment Engineering (ACEEE) Pub Date : 2019-06-01 DOI: 10.1109/ACEEE.2019.8816907

Zhang Chuncheng, Z. Lili, Liu Qing

引用次数: 1

Residential Energy Use Prediction across different Time Scales with Advanced Machine Learning Techniques 利用先进的机器学习技术预测不同时间尺度的住宅能源使用

2019 2nd Asia Conference on Energy and Environment Engineering (ACEEE) Pub Date : 2019-06-01 DOI: 10.1109/ACEEE.2019.8816955

Ruan Jin-jin, Wang Shihuai, Wang Zhengyang, Mei Yuting

{"title":"Residential Energy Use Prediction across different Time Scales with Advanced Machine Learning Techniques","authors":"Ruan Jin-jin, Wang Shihuai, Wang Zhengyang, Mei Yuting","doi":"10.1109/ACEEE.2019.8816955","DOIUrl":"https://doi.org/10.1109/ACEEE.2019.8816955","url":null,"abstract":"As a significant part of total energy consumption, predictive modeling of residential energy use is critically important and highly desired. Previous efforts have proposed a number of statistical models for the prediction of residential energy consumption, while the accuracy and predictability of different models are still highly uncertain. In this study, we explore the effective temporal scale of residential energy use prediction, using the-state-of-the-art machine learning techniques: a fully connected Artificial Neutral Network (ANN) and a Recurrent Neural Network (RNN). For RNN modeling, the Long-Short-Term-Memory (LSTM) realization is employed. We find that ANN model in general has higher predictability than LSTM. Specifically, neither ANN nor LSTM is able to well predict high frequency fluctuation of residential energy use (~10 minutes) due to short-term random error. While, across a relatively longer time frame (from 24 hours to 48 hours), ANN model performs reasonably well and works much better than LSTM. From the perspective of dominating factors, room temperature and humidity are the most relevant ones to predict the building residential energy use. This work will facilitate the energy use prediction and decision-making within the framework of smart grid.","PeriodicalId":6679,"journal":{"name":"2019 2nd Asia Conference on Energy and Environment Engineering (ACEEE)","volume":"1 1","pages":"20-24"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90988126","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}

引用次数: 0

Exploration in Using Algae to Enhance Indoor Environment in the Tropical Climate 热带气候条件下利用藻类改善室内环境的探索

2019 2nd Asia Conference on Energy and Environment Engineering (ACEEE) Pub Date : 2019-06-01 DOI: 10.1109/ACEEE.2019.8816895

Muhammad Azzam Ismail, Karam Mustafa Al-Obaidi

引用次数: 3

Performance Assessment of University Buildings Based on Provided Thermal Comfort 基于提供热舒适性的大学建筑性能评价

2019 2nd Asia Conference on Energy and Environment Engineering (ACEEE) Pub Date : 2019-06-01 DOI: 10.1109/ACEEE.2019.8817007

Nurdan Yıldırım, Hacer Şekerci

{"title":"Performance Assessment of University Buildings Based on Provided Thermal Comfort","authors":"Nurdan Yıldırım, Hacer Şekerci","doi":"10.1109/ACEEE.2019.8817007","DOIUrl":"https://doi.org/10.1109/ACEEE.2019.8817007","url":null,"abstract":"Buildings and industry cover the largest share of total energy consumption. When the distribution of energy consumption in buildings is examined, it is seen that the most important part is air conditioning systems. Therefore, improving the energy consumption of air conditioning systems or using more efficient systems have great importance. The factors affecting the energy consumption of air conditioning systems are system type, capacity, design, operation and climate conditions and user interventions.Yasar University is the first University having the TS EN ISO 50001:2011 Energy Management System Standard Certification in Turkey. Since the buildings and their systems are different in the Campus, the new performance indicators are necessary to evaluate energy performance of the buildings. In this regard, addition to existing energy metering system, thermal comfort measurement devices were installed in some classes and offices in the campus.In this study, performance assessment of two buildings in the Campus of Yasar University has been done based on their specific energy consumption and provided thermal comfort to the classes. Thus, the relationship between energy consumption and thermal comfort in buildings is revealed and suggestions are presented to increase energy efficiency.","PeriodicalId":6679,"journal":{"name":"2019 2nd Asia Conference on Energy and Environment Engineering (ACEEE)","volume":"157 1","pages":"7-11"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90982178","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}

引用次数: 3