Journal articles on the topic 'Multi-step ahead forecasting'
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Kaboudan, M. A. "WAVELETS IN MULTI-STEP-AHEAD FORECASTING." IFAC Proceedings Volumes 38, no. 1 (2005): 36–41. http://dx.doi.org/10.3182/20050703-6-cz-1902.02242.
Full textFindley, D. F. "Model Selection for Multi-Step-Ahead Forecasting." IFAC Proceedings Volumes 18, no. 5 (July 1985): 1039–44. http://dx.doi.org/10.1016/s1474-6670(17)60699-2.
Full textHayder, Gasim, Mahmud Iwan Solihin, and M. R. N. Najwa. "Multi-step-ahead prediction of river flow using NARX neural networks and deep learning LSTM." H2Open Journal 5, no. 1 (January 25, 2022): 43–60. http://dx.doi.org/10.2166/h2oj.2022.134.
Full textCHANG, FI-JOHN, YEN-MING CHIANG, and LI-CHIU CHANG. "Multi-step-ahead neural networks for flood forecasting." Hydrological Sciences Journal 52, no. 1 (February 2007): 114–30. http://dx.doi.org/10.1623/hysj.52.1.114.
Full textMcElroy, Tucker S., and David F. Findley. "Selection between models through multi-step-ahead forecasting." Journal of Statistical Planning and Inference 140, no. 12 (December 2010): 3655–75. http://dx.doi.org/10.1016/j.jspi.2010.04.032.
Full textXiong, Tao, Yukun Bao, and Zhongyi Hu. "Beyond one-step-ahead forecasting: Evaluation of alternative multi-step-ahead forecasting models for crude oil prices." Energy Economics 40 (November 2013): 405–15. http://dx.doi.org/10.1016/j.eneco.2013.07.028.
Full textXiong, Shenghua, Chunfeng Wang, Zhenming Fang, and Dan Ma. "Multi-Step-Ahead Carbon Price Forecasting Based on Variational Mode Decomposition and Fast Multi-Output Relevance Vector Regression Optimized by the Multi-Objective Whale Optimization Algorithm." Energies 12, no. 1 (January 2, 2019): 147. http://dx.doi.org/10.3390/en12010147.
Full textLi, Fang, Lihua Zhang, Xiao Wang, and Shihu Liu. "Implement multi-step-ahead forecasting with multi-point association fuzzy logical relationship for time series." Journal of Intelligent & Fuzzy Systems 42, no. 3 (February 2, 2022): 2023–39. http://dx.doi.org/10.3233/jifs-211405.
Full textSuradhaniwar, Saurabh, Soumyashree Kar, Surya S. Durbha, and Adinarayana Jagarlapudi. "Time Series Forecasting of Univariate Agrometeorological Data: A Comparative Performance Evaluation via One-Step and Multi-Step Ahead Forecasting Strategies." Sensors 21, no. 7 (April 1, 2021): 2430. http://dx.doi.org/10.3390/s21072430.
Full textSu, Haokun, Xiangang Peng, Hanyu Liu, Huan Quan, Kaitong Wu, and Zhiwen Chen. "Multi-Step-Ahead Electricity Price Forecasting Based on Temporal Graph Convolutional Network." Mathematics 10, no. 14 (July 6, 2022): 2366. http://dx.doi.org/10.3390/math10142366.
Full textDuan, Jiuding, and Hisashi Kashima. "Learning to Rank for Multi-Step Ahead Time-Series Forecasting." IEEE Access 9 (2021): 49372–86. http://dx.doi.org/10.1109/access.2021.3068895.
Full textLuna, Ivette, Ieda G. Hidalgo, Paulo S. M. Pedro, Paulo S. F. Barbosa, Alberto L. Francato, and Paulo B. Correia. "FUZZY INFERENCE SYSTEMS FOR MULTI-STEP AHEAD DAILY INFLOW FORECASTING." Pesquisa Operacional 37, no. 1 (January 2017): 129–44. http://dx.doi.org/10.1590/0101-7438.2017.037.01.0129.
Full textBen Taieb, Souhaib, Antti Sorjamaa, and Gianluca Bontempi. "Multiple-output modeling for multi-step-ahead time series forecasting." Neurocomputing 73, no. 10-12 (June 2010): 1950–57. http://dx.doi.org/10.1016/j.neucom.2009.11.030.
Full textAhmed, Adil, and Muhammad Khalid. "Multi-step Ahead Wind Forecasting Using Nonlinear Autoregressive Neural Networks." Energy Procedia 134 (October 2017): 192–204. http://dx.doi.org/10.1016/j.egypro.2017.09.609.
Full textHuck, Nicolas. "Pairs trading and outranking: The multi-step-ahead forecasting case." European Journal of Operational Research 207, no. 3 (December 2010): 1702–16. http://dx.doi.org/10.1016/j.ejor.2010.06.043.
Full textRoy, Dilip Kumar, Tapash Kumar Sarkar, Sheikh Shamshul Alam Kamar, Torsha Goswami, Md Abdul Muktadir, Hussein M. Al-Ghobari, Abed Alataway, Ahmed Z. Dewidar, Ahmed A. El-Shafei, and Mohamed A. Mattar. "Daily Prediction and Multi-Step Forward Forecasting of Reference Evapotranspiration Using LSTM and Bi-LSTM Models." Agronomy 12, no. 3 (February 27, 2022): 594. http://dx.doi.org/10.3390/agronomy12030594.
Full textZhou, Yanlai, Fi-John Chang, Li-Chiu Chang, I.-Feng Kao, Yi-Shin Wang, and Che-Chia Kang. "Multi-output support vector machine for regional multi-step-ahead PM2.5 forecasting." Science of The Total Environment 651 (February 2019): 230–40. http://dx.doi.org/10.1016/j.scitotenv.2018.09.111.
Full textWang, Dong Feng, Fu Qiang Wang, and Pu Han. "Multi-Step-Ahead Forecasting of Wind Speed Based on EMD-RBF Model." Advanced Materials Research 347-353 (October 2011): 2219–22. http://dx.doi.org/10.4028/www.scientific.net/amr.347-353.2219.
Full textChen, Yanhui, Yingchao Zou, Yuzhen Zhou, and Chuan Zhang. "Multi-step-ahead Crude Oil Price Forecasting based on Grey Wave Forecasting Method." Procedia Computer Science 91 (2016): 1050–56. http://dx.doi.org/10.1016/j.procs.2016.07.147.
Full textDu, Pei, Jianzhou Wang, Wendong Yang, and Tong Niu. "Multi-step ahead forecasting in electrical power system using a hybrid forecasting system." Renewable Energy 122 (July 2018): 533–50. http://dx.doi.org/10.1016/j.renene.2018.01.113.
Full textFeng, Bin, Jianmin Xu, Yonggang Zhang, and Yongjie Lin. "Multi-Step Traffic Speed Prediction Based on Ensemble Learning on an Urban Road Network." Applied Sciences 11, no. 10 (May 13, 2021): 4423. http://dx.doi.org/10.3390/app11104423.
Full textRodríguez, Nibaldo, Claudio Cubillos, and José-Miguel Rubio. "Multi-Step-Ahead Forecasting Model for Monthly Anchovy Catches Based on Wavelet Analysis." Journal of Applied Mathematics 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/798464.
Full textZhan, Xingbin, Shuaichao Zhang, Wai Yuen Szeto, and Xiqun (Michael) Chen. "Multi-step-ahead traffic speed forecasting using multi-output gradient boosting regression tree." Journal of Intelligent Transportation Systems 24, no. 2 (March 18, 2019): 125–41. http://dx.doi.org/10.1080/15472450.2019.1582950.
Full textWang, Yun, Zongxia Xie, Qinghua Hu, and Shenghua Xiong. "Correlation aware multi-step ahead wind speed forecasting with heteroscedastic multi-kernel learning." Energy Conversion and Management 163 (May 2018): 384–406. http://dx.doi.org/10.1016/j.enconman.2018.02.034.
Full textVassallo, Daniel, Raghavendra Krishnamurthy, Thomas Sherman, and Harindra J. S. Fernando. "Analysis of Random Forest Modeling Strategies for Multi-Step Wind Speed Forecasting." Energies 13, no. 20 (October 20, 2020): 5488. http://dx.doi.org/10.3390/en13205488.
Full textRodriguez, Nibaldo, Gabriel Bravo, and Lida Barba. "Haar Wavelet Neural Network for Multi-step-ahead Anchovy Catches Forecasting." Polibits 50 (July 31, 2014): 49–53. http://dx.doi.org/10.17562/pb-50-7.
Full textYamamura, Mariko, and Isao Shoji. "A nonparametric method of multi-step ahead forecasting in diffusion processes." Physica A: Statistical Mechanics and its Applications 389, no. 12 (June 2010): 2408–15. http://dx.doi.org/10.1016/j.physa.2010.02.018.
Full textFerreira, Lucas Borges, and Fernando França da Cunha. "Multi-step ahead forecasting of daily reference evapotranspiration using deep learning." Computers and Electronics in Agriculture 178 (November 2020): 105728. http://dx.doi.org/10.1016/j.compag.2020.105728.
Full textKley-Holsteg, Jens, and Florian Ziel. "Probabilistic Multi-Step-Ahead Short-Term Water Demand Forecasting with Lasso." Journal of Water Resources Planning and Management 146, no. 10 (October 2020): 04020077. http://dx.doi.org/10.1061/(asce)wr.1943-5452.0001268.
Full textWang, Yun, Tuo Chen, Shengchao Zhou, Fan Zhang, Ruming Zou, and Qinghua Hu. "An improved Wavenet network for multi-step-ahead wind energy forecasting." Energy Conversion and Management 278 (February 2023): 116709. http://dx.doi.org/10.1016/j.enconman.2023.116709.
Full textAslam, Muhammad, Jun-Sung Kim, and Jaesung Jung. "Multi-step ahead wind power forecasting based on dual-attention mechanism." Energy Reports 9 (December 2023): 239–51. http://dx.doi.org/10.1016/j.egyr.2022.11.167.
Full textLorek, Kenneth S., and G. Lee Willinger. "Multi-Step-Ahead Quarterly Cash-Flow Prediction Models." Accounting Horizons 25, no. 1 (March 1, 2011): 71–86. http://dx.doi.org/10.2308/acch.2011.25.1.71.
Full textTao, Tianyou, Peng Shi, Hao Wang, Lin Yuan, and Sheng Wang. "Performance Evaluation of Linear and Nonlinear Models for Short-Term Forecasting of Tropical-Storm Winds." Applied Sciences 11, no. 20 (October 11, 2021): 9441. http://dx.doi.org/10.3390/app11209441.
Full textRibeiro, Matheus Henrique Dal Molin, Viviana Cocco Mariani, and Leandro dos Santos Coelho. "Multi-step ahead meningitis case forecasting based on decomposition and multi-objective optimization methods." Journal of Biomedical Informatics 111 (November 2020): 103575. http://dx.doi.org/10.1016/j.jbi.2020.103575.
Full textGhobadi, Fatemeh, and Doosun Kang. "Multi-Step Ahead Probabilistic Forecasting of Daily Streamflow Using Bayesian Deep Learning: A Multiple Case Study." Water 14, no. 22 (November 14, 2022): 3672. http://dx.doi.org/10.3390/w14223672.
Full textShaadan, Norshahida, and Wan Najiha Wan Mat Din. "Application of Functional Time Series Model in Forecasting Monthly Diurnal API Curves: A Comparison between Multi-Step Ahead and Iterative One-Step Ahead Approach." Malaysian Journal of Fundamental and Applied Sciences 18, no. 1 (February 28, 2022): 124–37. http://dx.doi.org/10.11113/mjfas.v18n1.2435.
Full textWang, Dongfeng, Fuqiang Wang, and Xiaoyan Wang. "Multi-Step-Ahead Combination Forecasting of Wind Speed Using Artificial Neural Networks." Research Journal of Applied Sciences, Engineering and Technology 5, no. 23 (May 28, 2013): 5443–49. http://dx.doi.org/10.19026/rjaset.5.4216.
Full textDe Caro, Fabrizio, Jacopo De Stefani, Alfredo Vaccaro, and Gianluca Bontempi. "DAFT-E: Feature-Based Multivariate and Multi-Step-Ahead Wind Power Forecasting." IEEE Transactions on Sustainable Energy 13, no. 2 (April 2022): 1199–209. http://dx.doi.org/10.1109/tste.2021.3130949.
Full textPirbazari, Aida Mehdipour, Ekanki Sharma, Antorweep Chakravorty, Wilfried Elmenreich, and Chunming Rong. "An Ensemble Approach for Multi-Step Ahead Energy Forecasting of Household Communities." IEEE Access 9 (2021): 36218–40. http://dx.doi.org/10.1109/access.2021.3063066.
Full textBajirao, Tarate Suryakant, Ahmed Elbeltagi, Manish Kumar, and Quoc Bao Pham. "Applicability of machine learning techniques for multi-time step ahead runoff forecasting." Acta Geophysica 70, no. 2 (March 8, 2022): 757–76. http://dx.doi.org/10.1007/s11600-022-00749-z.
Full textChang, Li-Chiu, Mohd Amin, Shun-Nien Yang, and Fi-John Chang. "Building ANN-Based Regional Multi-Step-Ahead Flood Inundation Forecast Models." Water 10, no. 9 (September 19, 2018): 1283. http://dx.doi.org/10.3390/w10091283.
Full textBeyaztas, Ufuk, and Hanlin Shang. "Machine-Learning-Based Functional Time Series Forecasting: Application to Age-Specific Mortality Rates." Forecasting 4, no. 1 (March 18, 2022): 394–408. http://dx.doi.org/10.3390/forecast4010022.
Full textTishin, Petr M., and Victor S. Buyukli. "The study of the quality of multi-step time series forecasting." Herald of Advanced Information Technology 5, no. 3 (October 27, 2022): 210–19. http://dx.doi.org/10.15276/hait.05.2022.16.
Full textYou, Yujie, Le Zhang, Peng Tao, Suran Liu, and Luonan Chen. "Spatiotemporal Transformer Neural Network for Time-Series Forecasting." Entropy 24, no. 11 (November 14, 2022): 1651. http://dx.doi.org/10.3390/e24111651.
Full textPei, Shaoqian, Hui Qin, Liqiang Yao, Yongqi Liu, Chao Wang, and Jianzhong Zhou. "Multi-Step Ahead Short-Term Load Forecasting Using Hybrid Feature Selection and Improved Long Short-Term Memory Network." Energies 13, no. 16 (August 10, 2020): 4121. http://dx.doi.org/10.3390/en13164121.
Full textGui, Ning, Jieli Lou, Zhifeng Qiu, and Weihua Gui. "Temporal Feature Selection for Multi-Step Ahead Reheater Temperature Prediction." Processes 7, no. 7 (July 22, 2019): 473. http://dx.doi.org/10.3390/pr7070473.
Full textZhang, J., and K. Nawata. "Multi-step prediction for influenza outbreak by an adjusted long short-term memory." Epidemiology and Infection 146, no. 7 (April 2, 2018): 809–16. http://dx.doi.org/10.1017/s0950268818000705.
Full textShao, Xiaorui, and Chang Soo Kim. "Accurate Multi-Site Daily-Ahead Multi-Step PM2.5 Concentrations Forecasting Using Space-Shared CNN-LSTM." Computers, Materials & Continua 70, no. 3 (2022): 5143–60. http://dx.doi.org/10.32604/cmc.2022.020689.
Full textTyralis, Hristos, and Georgia A. Papacharalampous. "Large-scale assessment of Prophet for multi-step ahead forecasting of monthly streamflow." Advances in Geosciences 45 (August 17, 2018): 147–53. http://dx.doi.org/10.5194/adgeo-45-147-2018.
Full textBarua, S., B. J. C. Perera, A. W. M. Ng, and D. Tran. "Drought forecasting using an aggregated drought index and artificial neural network." Journal of Water and Climate Change 1, no. 3 (September 1, 2010): 193–206. http://dx.doi.org/10.2166/wcc.2010.000.
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