[1]維基百科,世界人口,[Online]. Available:https://reurl.cc/rW6vr,2019
[2]新浪科技,末日時鐘只剩兩分鐘 1953年人類面臨最高危險,[Online]. Available:http://tech.sina.com.cn/d/s/2018-01-31/doc-ifyqyqni5804332.shtml,2018
[3]環境資訓中心,國際級報告:暖化守住1.5 °C有可能 但須「前所未有的努力」,https://e-info.org.tw/node/214376,2018
[4]Zion Research Analysis 2015, “Global Smart Grid Market Set for Rapid Growth, To Reach Around USD 120.0 Billion by 2020,” Market Research Store, 2015
[5]施宇承,光連雙月刊,1st ed. vol. 97. Place Published: Taipei,2012
[6]Ren21, “Renewables 2018 Global Status Report,” Renewable Energy Policy Network for the 21st Century , Technical Report, 2018
[7]國家發展委員會,經濟小辭典-再生能源,[Online]. Available:https://reurl.cc/bplYo
[8]行政院重要政策,推動風力發電4年計畫—潔淨能源 乘風而起,[Online]. Available:https://reurl.cc/eYdyK,2018
[9]吳進忠,再生能源預測對於電力調度的重要性,2018
[10]環境資訓中心,打破「智慧」之謎 智慧電網、智慧城市厲害在哪裡?,[Online]. Available:https://e-info.org.tw/node/209332,2018
[11]台灣電力公司資訊揭露,台電供電系統簡介,[Online]. Available:https://www.taipower.com.tw/tc/page.aspx?mid=211,2018
[12]Hulisani Matsila and Pitshou Bokoro, “Load Forecasting Using Statistical Time Series Model in a Medium Voltage Distribution Network,” Proceeding of IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society, pp.4974-4979, 2018
[13]Alper Tokgöz and Gözde Ünal, “A RNN Based Time Series Approach for Forecasting Turkish Electricity Load,” Proceeding of 2018 26th Signal Processing and Communications Applications Conference, pp.1-4, 2018
[14]S.N. Dodamani, V.J. Shetty and R.B. Magadum, “A Short Term Load Forecast Based on Time Series Analysis: A Case Study,” Proceeding of 2015 International Conference on Technological Advancements in Power and Energy, pp.299-303, 2015
[15]Elvisa Bećirović and Marijana Ćosović, “Machine Learning Techniques for Short-Term Load Forecasting,” Proceeding of 2016 4th International Symposium on Environmental Friendly Energies and Applications, pp.1-4, 2016
[16]Cong Feng and Jie Zhang, “Hourly-Similarity Based Solar Forecasting Using Multi-Model Machine Learning Blending,” Proceeding of 2018 IEEE Power & Energy Society General Meeting, pp.1-5, 2018
[17]Mvkola Medykovskvi, Olena Pavliuk and Roman Sydorenko, “Use of Machine Learning Technologys for the Electric Consumption Forecast,” Proceeding of 2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies, pp.432-435, 2018
[18]Liu Limei and Hou Xuan, “Study of Electricity Load Forecasting Based on Multiple Kernels Learning and Weighted Support Vector Regression Machine,” Proceeding of 2017 29th Chinese Control and Decision Conference, pp.1421-1424, 2017
[19]Mohammad Kaiser Azad, Sihab Uddin and Maen Takruri, “Support Vector Regression Based Electricity Peak Load Forecasting,” Proceeding of 2018 11th International Symposium on Mechatronics and its Applications, pp.1-5, 2018
[20]Xiaokui Sun, Zhiyou Ouyang and Dong Yue, “Short-Term Load Forecasting Based on Multivariate Linear Regression,” Proceeding of 2017 IEEE Conference on Energy Internet and Energy System Integration, pp.1-5, 2017
[21]李清吟、陳大業,“變電所監控裝置即時告警之研究”,中華民國第三十屆電力工程研討會論文集,台灣桃園,2009
[22]林信成,防災型微電網建置,碩士論文,國立高雄應用科技大學電機工程學系,高雄,2017[23]Gordoncheng's Blog,各國電力調度中心(ISO)、電力交易所(PX)檢索,https://reurl.cc/MEyjp,2010
[24]環境資訊中心,電力調度ABC烈日當頭 台電祭出哪些法寶開源節流?,https://e-info.org.tw/node/213924,2018
[25]柯佾寬,“IEC 61850 通訊協定 GOOSE 功能性研究探討”,電驛協會102年7月會刊,2013
[26]Mark Adamiak, Drew Baigent, and Ralph Mackiewicz, “IEC 61850 Communication Networks and Systems in Substations”, The Protection & Control Journal, pp. 61-68, 2010
[27]Paul Smart,How to Access Your Measurement Data Using DNP3,[Online]. Available:https://www.campbellsci.com.au/blog/access-measurement-data-using-dnp3,2016
[28]Intelligentcomputing,DNP3協議簡單介紹及協議識別方法,[Online]. Available:https://kknews.cc/zh-tw/tech/x56z4ng.html,2017
[29]王瀚、林純鑫,“智慧型電網與變電所自動化簡介”,電力人,第十五期,2014
[30]尹相志,SQL Server 2005 Data Mining資料採礦與Office 2007資料採礦增益集,悅知文化,2007
[31]SJ,JavaScript 實現類神經網路 (瀏覽器 Deep Learning 好棒棒),[Online]. Available:https://reurl.cc/pkvjd,2017
[32]Haykin, S, “NEURAL NETWORKS a Comprehensive Foundation,” Canada: Ontatio, 1999
[33]S. Alelyani, J. Tang, and H. Liu. Feature Selection for Clustering: A Review. Data Clustering: Algorithms and Applications, Editor: Charu Aggarwal and Chandan Reddy, CRC Press, 2013
[34]Zhao Z, Morstatter F, Sharma S, Alelyani S, Anand A, Liu H, Advancing feature selection research—Asu Feature Selection Repository. Technical Report, School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, 2010
[35]董道廷,電力系統短期負載預測,碩士論文,國立中山大學電機工程學系,高雄,2017[36]林建甫,迴歸分析,滄海書局,2017
[37]Deep Systems,Evolution: From Vanilla RNN to GRU & LSTMs,[Online]. Available:https://reurl.cc/z96py。
[38]HNFXS,貝茲曲線應用-貝塞爾插值,[Online]. Available:https://reurl.cc/AZ063,2013
[39]lsxpu,Cubic spline-三次樣條插值,[Online]. Available:https://blog.csdn.net/lsxpu/article/details/38849775,2014
[40]維基百科,XPath,[Online]. Available:https://zh.wikipedia.org/wiki/XPath,2019
[41]楊凱、侯豔、李康,隨機森林變數重要性評分及其研究進展,[Online]. Available:http://www.paper.edu.cn/releasepaper/content/201507-212,2015
[42]Jiapeng Yin, Jian Hou, Zhiyong She, Chengming Yang and Han Yu, “Improving The Performance of SVM-RFE on Classification of Pancreatic Cancer Data,” Proceeding of 2016 IEEE International Conference on Industrial Technology, pp.956-961, 2016
[43]IT獨白者,遞迴式特徵消除:Recursive feature elimination(RFE),[Online]. Available:https://blog.csdn.net/sun_wangdong/article/details/80863932,2018
[44]台灣電力公司,各種發電方式之發電成本,[Online]. Available: https://www.taipower.com.tw/tc/page.aspx?mid=196,2019
[45]International Energy Agency, “The Power of Transformation”, Technical Report, 2014
[46]能源資訊平台,儲能設施是否可以負擔?,[Online]. Available:http://eip.iner.gov.tw/msn.aspx?datatype=YW5hbHlzaXM=&id=MTYy,2018
[47]華人百科,RMSE,[Online]. Available:https://www.itsfun.com.tw/rmse/wiki-7752717-6710596,2019
[48]BOB L. WALL and JEFF K. ELSER, “Imputation of Missing Data For Input To Support Vector Machines”, [Online]. Available:https://reurl.cc/7aGL9
[49]維基百科,龍格現象,[Online]. Available:https://reurl.cc/dZm1y,2019
[50]M H M R Shyamali Dilhani, Chawalit Jeenanunta, “Daily Electric Load Forecasting: Case of Thailand,” Proceeding of 2016 7th International Conference of Information and Communication Technology for Embedded Systems, pp.25-29, 2016
[51]Ali Lahouar, Jaleleddine Ben Hadj Slama, “Random Forests Model for One Day Ahead Load Forecasting,” Proceeding of 2015 6th International Renewable Energy Congress, pp.1-6, 2015
[52]行政院,本院新聞-關切2025非核家園前之電力系統 賴揆親自主持會議,[Online]. Available:https://reurl.cc/7xM4D,2017
[53]Zhongsheng Guo, “Daily Variation Law of Solar Radiation Flux Density Incident on the Horizontal Surface” Journal of Earth Science & Climatic Change, Guo, J Earth Sci Clim Change 2017, Vol. 8, No. 9 DOI: 10.4172/2157-7617.1000412, 2017
[54]Solar News,太陽光電發電量計算法,[Online]. Available:https://reurl.cc/Yz040,2011