Rae-Jin Park, Sungwoo Kang, Jaehyeong Lee, Seungmin Jung
In this study, we propose a wind power generation prediction system that applies machine learning and data mining to predict wind power generation. This system increases the utilization rate of new and renewable energy sources. For time-series data, the data set was established by measuring wind speed, wind generation, and environmental factors influencing the wind speed. The data set was pre-processed so that it could be applied appropriately to the model. The prediction system applied the CNN (Convolutional Neural Network) to the data mining process and then used the LSTM (Long Short-Term Memory) to learn and make predictions. The preciseness of the proposed system is verified by comparing the prediction data with the actual data, according to the presence or absence of data mining in the model of the prediction system.
{"title":"CNN-LSTM based Wind Power Prediction System to Improve Accuracy","authors":"Rae-Jin Park, Sungwoo Kang, Jaehyeong Lee, Seungmin Jung","doi":"10.7849/ksnre.2022.0001","DOIUrl":"https://doi.org/10.7849/ksnre.2022.0001","url":null,"abstract":"In this study, we propose a wind power generation prediction system that applies machine learning and data mining to predict wind power generation. This system increases the utilization rate of new and renewable energy sources. For time-series data, the data set was established by measuring wind speed, wind generation, and environmental factors influencing the wind speed. The data set was pre-processed so that it could be applied appropriately to the model. The prediction system applied the CNN (Convolutional Neural Network) to the data mining process and then used the LSTM (Long Short-Term Memory) to learn and make predictions. The preciseness of the proposed system is verified by comparing the prediction data with the actual data, according to the presence or absence of data mining in the model of the prediction system.","PeriodicalId":178528,"journal":{"name":"New & Renewable Energy","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129552467","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}
Seung-Rok Lee, Hee Han, Yoon-Seong Chang, Hanseob Jeong, Soo Min Lee, Gyu-Seong Han
{"title":"Mid- and Long-term Forecast of Forest Biomass Energy in South Korea, and Analysis of the Alternative Effects of Fossil Fuel","authors":"Seung-Rok Lee, Hee Han, Yoon-Seong Chang, Hanseob Jeong, Soo Min Lee, Gyu-Seong Han","doi":"10.7849/ksnre.2022.0021","DOIUrl":"https://doi.org/10.7849/ksnre.2022.0021","url":null,"abstract":"","PeriodicalId":178528,"journal":{"name":"New & Renewable Energy","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123899050","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}
Jongseo Lee, Sang-Soo Han, Doyeun Kim, JuHyun Kim, Sang-Bong Park
{"title":"Electrical Energy Production Using Biomass","authors":"Jongseo Lee, Sang-Soo Han, Doyeun Kim, JuHyun Kim, Sang-Bong Park","doi":"10.7849/ksnre.2023.0003","DOIUrl":"https://doi.org/10.7849/ksnre.2023.0003","url":null,"abstract":"","PeriodicalId":178528,"journal":{"name":"New & Renewable Energy","volume":"104 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132948915","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":"Analysis of Factors Driving the Participation of Small Scale Renewable Power Providers in the Power Brokerage Market","authors":"L. Dmitriy, J. Bae","doi":"10.7849/ksnre.2022.0016","DOIUrl":"https://doi.org/10.7849/ksnre.2022.0016","url":null,"abstract":"","PeriodicalId":178528,"journal":{"name":"New & Renewable Energy","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130640132","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":"Characteristics of Landfill Gas Generation by Separate Landfill of Construction Waste and Mixed Landfill with Household Waste","authors":"Jong-Keun Park, Seung-Kyu Chun","doi":"10.7849/ksnre.2022.0029","DOIUrl":"https://doi.org/10.7849/ksnre.2022.0029","url":null,"abstract":"","PeriodicalId":178528,"journal":{"name":"New & Renewable Energy","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121833240","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}
Seung-Rok Lee, Sehun Park, Moon-Hyun Koh, Gyu-Seong Han
{"title":"S. Korea’s Approach Strategy through Policy Analysis of Major Countries to Promote the Use of Forest Biomass as Renewable Energy","authors":"Seung-Rok Lee, Sehun Park, Moon-Hyun Koh, Gyu-Seong Han","doi":"10.7849/ksnre.2022.0020","DOIUrl":"https://doi.org/10.7849/ksnre.2022.0020","url":null,"abstract":"","PeriodicalId":178528,"journal":{"name":"New & Renewable Energy","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134066619","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：