Počet záznamov: 1
Energy Load Forecast Using S2S Deep Neural Networks with k-Shape Clustering
CREPC022018 CREPC201802 CREPC201803 CREPC201806 Title statement Energy Load Forecast Using S2S Deep Neural Networks with k-Shape Clustering / aut. Tomáš Jarábek, Peter Laurinec, Mária Lucká Main entry-name Jarábek, Tomáš 1989- (Author) - FIIT Ústav informatiky, informačných systémov a softvérového inžinierstva Another responsib. Laurinec, Peter, 1990- Z3 (Author) - FIIT Ústav informatiky, informačných systémov a softvérového inžinierstva Lucká, Mária, 1952- Z1 (Author) - FIIT Ústav informatiky, informačných systémov a softvérového inžinierstva In INFORMATICS 2017. Proceedings of IEEE 14th International Scientific Conference on Informatics, November 14-16, 2017, Poprad, Slovakia [437 s.] / INFORMATICS 2017. -- Danvers : IEEE, 2017. -- ISBN 978-1-5386-0888-3. -- S. 140-145 Language English Document kind RZB - článok zo zborníka Category AFD - Reports at home scientific conferences Category (from 2022) V2 - Vedecký výstup publikačnej činnosti ako časť editovanej knihy alebo zborníka Year 2017 Citations [1] 2018: WU, Qianhong - HAN, Bei - FENG, Lin - LI, Guojie - JIANG, Xiuchen. "AI+" Based Smart Grid Prediction Analysis. In Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2018-10-01, 52, 10, pp. ISSN 10062467. [1] 2019: HU, Yao - SUN, Xiaoyan - NIE, Xin - LI, Yuzhu - LIU, Lian. An Enhanced LSTM for Trend Following of Time Series. In IEEE Access, 2019-01-01, 7, pp. 34020-34030. [1] 2019: RAJABI, Amin - ESKANDARI, Mohsen - GHADI, Mojtaba Jabbari - LI, Li - ZHANG, Jiangfeng - SIANO, Pierluigi. A comparative study of clustering techniques for electrical load pattern segmentation. In Renewable and Sustainable Energy Reviews, 2019-01-01, pp. ISSN 13640321. [1] 2019: TAN, Mao - JIN, Ji Cheng - SU, Yong Xin. An Ensemble Learning Approach for Short-Term Load Forecasting of Grid-Connected Multi-energy Microgrid. In 2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019, 2019-12-01, pp. 497-502. [1] 2019: SIRIDHIPAKUL, Chukwan - VATEEKUL, Peerapon. Multi-step Power Consumption Forecasting in Thailand Using Dual-Stage Attentional LSTM. In 2019 11TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND ELECTRICAL ENGINEERING (ICITEE 2019), 2019, vol., no., pp. [1] 2020: LUO, Jun - ZHU, Keyu - WANG, Xiaojia. Short-term load forecasting using modified sequence-to-sequence deep learning framework. In IOP Conference Series: Materials Science and Engineering, 2020-04-06, 790, 1, pp. ISSN 17578981. [1] 2020: FAN, Longmao - LI, Jianing - ZHANG, Xiao Ping. Load prediction methods using machine learning for home energy management systems based on human behavior patterns recognition. In CSEE Journal of Power and Energy Systems, 2020, vol. 6, no. 3, pp. 563-571. ISSN 2096-0042. [1] 2021: ELAHE, Md Fazla - JIN, Min - ZENG, Pan. Review of load data analytics using deep learning in smart grids: Open load datasets, methodologies, and application challenges. In International Journal of Energy Research, 2021-08-01, 45, 10, pp. 14274-14305. ISSN 0363907X. [1] 2021: WANG, Bo - ZHANG, Danhong - YANG, Weishan - LENG, Zhiwen. An Intelligent Forecasting Model for Building Energy Consumption Using K-shape Clustering and Random Forest. In ACM International Conference Proceeding Series, 2021-05-28, pp. [1] 2021: VANTING, Nicolai Bo - MA, Zheng - JØRGENSEN, Bo Nørregaard. A scoping review of deep neural networks for electric load forecasting. In Energy Informatics, 2021-09-01, 4, pp. [1] 2021: PARK, Jinwoong - HWANG, Eenjun. A Two-Stage Multistep-Ahead Electricity Load Forecasting Scheme Based on LightGBM and Attention-BiLSTM. In SENSORS, 2021, vol. 21, no. 22, pp. [1] 2021: INCEOGLU, F. - LOTO'ANIU, Paul T.M. Using Unsupervised and Supervised Machine Learning Methods to Correct Offset Anomalies in the GOES-16 Magnetometer Data. In Space Weather, 2021-12-01, 19, 12, pp. [1] 2022: PAVLICKO, Michal - VOJTEKOVÁ, Mária - BLAŽEKOVÁ, Ol’Ga. Forecasting of Electrical Energy Consumption in Slovakia. In Mathematics, 2022-02-01, 10, 4, pp. 
článok
Počet záznamov: 1