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Prediction of Wind Speed Using Real Data: An Analysis of Statistical Machine Learning Techniques 使用真实数据预测风速:统计机器学习技术的分析
2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE) Pub Date : 2017-12-01 DOI: 10.1109/APWCONCSE.2017.00051
M. Ali, Md. Ziaul Hassan, A. S. Ali, J. Kumar
{"title":"Prediction of Wind Speed Using Real Data: An Analysis of Statistical Machine Learning Techniques","authors":"M. Ali, Md. Ziaul Hassan, A. S. Ali, J. Kumar","doi":"10.1109/APWCONCSE.2017.00051","DOIUrl":"https://doi.org/10.1109/APWCONCSE.2017.00051","url":null,"abstract":"The better prediction models for the upcoming supply of renewable energy are important to decrease the need for controlling energy provided by conventional power plants. Especially for successful power grid integration of the highly volatile wind power production, a reliable forecast is crucial. In this chapter, we focus on short-term wind power prediction and employ data from the National Renewable Energy Laboratory (NREL), which are designed for a wind integration study in the western part of the United States. In contrast to physical approaches based on very complex differential equations, our model derives functional dependencies directly from the observations. Hereby, we formulate the prediction task as regression problem and test different regression techniques such as linear regression and support vector regression. In our experiments, we analyze predictions for individual turbines as well as entire wind parks and show that a machine learning approach yields feasible results for short-term wind power prediction.","PeriodicalId":215519,"journal":{"name":"2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122581445","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
Hydroelectric Power Generation Using Differential Pressure of District Heating Pipe in a Thermal Grid 热网集中供热管压差发电
2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE) Pub Date : 2017-12-01 DOI: 10.1109/APWCONCSE.2017.00041
K. Kim, Mun Sei Oh, Sung Yong Park
{"title":"Hydroelectric Power Generation Using Differential Pressure of District Heating Pipe in a Thermal Grid","authors":"K. Kim, Mun Sei Oh, Sung Yong Park","doi":"10.1109/APWCONCSE.2017.00041","DOIUrl":"https://doi.org/10.1109/APWCONCSE.2017.00041","url":null,"abstract":"When the hot water for district heating (DH) is supplied through a thermal grid, a pressure differential control valve (PDCV) in a substation protects the users’ equipment from the high pressure water and helps to supply DH water to long distance. It also controls the constant temperature and adjusts the constant pressure in the thermal grid. However, cavitation occurs in PDCV due to the use of high pressure DH water. It causes frequent failures, many problems and energy losses. It makes a complaint to both the operator and the user. In order to solve these problems, we will introduce the hydroelectric power generation method to replace PDCV with hydraulic turbine, convert the unused differential pressure within a DH pipe into electricity.","PeriodicalId":215519,"journal":{"name":"2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126194496","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
The Design Functions of a Knowledge-Based Decision Support System in B2C E-commerce Problem Domain B2C电子商务问题领域基于知识的决策支持系统的设计功能
2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE) Pub Date : 2017-12-01 DOI: 10.1109/APWCONCSE.2017.00015
Madhury Khatun, S. Miah
{"title":"The Design Functions of a Knowledge-Based Decision Support System in B2C E-commerce Problem Domain","authors":"Madhury Khatun, S. Miah","doi":"10.1109/APWCONCSE.2017.00015","DOIUrl":"https://doi.org/10.1109/APWCONCSE.2017.00015","url":null,"abstract":"Managers of small businesses require real-time and inclusive knowledge for employing the small business website for operating business-to-consumers (B2C) e-commerce environment. The main dedication of this paper is to develop a knowledge-based DSS (KB-DSS) solution for assisting in designing and keep operating their business websites. The KB-DSS is a well-recognised DSS class in the information system (IS) discipline, which can deal with developing innovative IS artefact. Various studies have been conducted on improving theory and practices within this field. We developed the KB-DSS for website features evaluation, adopting design-science research (DSR) method. The artefact was evaluated for its utility and usefulness through end-user involvements employing focus group technique.","PeriodicalId":215519,"journal":{"name":"2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116741401","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
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