Artículos de revistas sobre el tema "Electricity price prediction"
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Castelli, Mauro, Aleš Groznik y Aleš Popovič. "Forecasting Electricity Prices: A Machine Learning Approach". Algorithms 13, n.º 5 (8 de mayo de 2020): 119. http://dx.doi.org/10.3390/a13050119.
Texto completoCao, Man, Yajun Wang, Jinning Liu, Zhiyong Yin, Xin Guo y Xiaokun Ren. "Day Ahead Electricity Price Forecasting Based on the Deep Belief Network". Wireless Communications and Mobile Computing 2022 (29 de septiembre de 2022): 1–8. http://dx.doi.org/10.1155/2022/3960597.
Texto completoXie, Xiaoming, Meiping Li y Du Zhang. "A Multiscale Electricity Price Forecasting Model Based on Tensor Fusion and Deep Learning". Energies 14, n.º 21 (4 de noviembre de 2021): 7333. http://dx.doi.org/10.3390/en14217333.
Texto completoArvanitidis, Athanasios Ioannis, Dimitrios Bargiotas, Dimitrios Kontogiannis, Athanasios Fevgas y Miltiadis Alamaniotis. "Optimized Data-Driven Models for Short-Term Electricity Price Forecasting Based on Signal Decomposition and Clustering Techniques". Energies 15, n.º 21 (25 de octubre de 2022): 7929. http://dx.doi.org/10.3390/en15217929.
Texto completoXie, Ke, Yiwang Luo, Wenjing Li, Zhipeng Chen, Nan Zhang y Cai Liu. "Deep Learning with Multisource Data Fusion in Electricity Internet of Things for Electricity Price Forecast". Wireless Communications and Mobile Computing 2022 (24 de enero de 2022): 1–11. http://dx.doi.org/10.1155/2022/3622559.
Texto completoAsemota, Godwin Norense Osarumwense. "A Prediction Model of Future Electricity Pricing in Namibia". Advanced Materials Research 824 (septiembre de 2013): 93–99. http://dx.doi.org/10.4028/www.scientific.net/amr.824.93.
Texto completoWan Abdul Razak, Intan Azmira, Izham Zainal Abidin, Yap Keem Siah y Mohamad Fani Sulaima. "NEXT-HOUR ELECTRICITY PRICE FORECASTING USING LEAST SQUARES SUPPORT VECTOR MACHINE AND GENETIC ALGORITHM". ASEAN Engineering Journal 12, n.º 3 (31 de agosto de 2022): 11–17. http://dx.doi.org/10.11113/aej.v12.17276.
Texto completoOksuz, Ilkay y Umut Ugurlu. "Neural Network Based Model Comparison for Intraday Electricity Price Forecasting". Energies 12, n.º 23 (29 de noviembre de 2019): 4557. http://dx.doi.org/10.3390/en12234557.
Texto completoZhang, Yangrui, Peng Tao, Xiangming Wu, Chenguang Yang, Guang Han, Hui Zhou y Yinlong Hu. "Hourly Electricity Price Prediction for Electricity Market with High Proportion of Wind and Solar Power". Energies 15, n.º 4 (13 de febrero de 2022): 1345. http://dx.doi.org/10.3390/en15041345.
Texto completoLu, Ning y Ying Liu. "A Research into Probabilistic Electricity Load Prediction Based on Demand Response Feature under Smart Grid Environment". Applied Mechanics and Materials 380-384 (agosto de 2013): 3098–102. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.3098.
Texto completoTabassum, Zahira y B. S. Chandrasekar Shastry. "Short Term Load Forecasting of Residential and Commercial Consumers of Karnataka Electricity Board using CFNN". International Journal of Electrical and Electronics Research 10, n.º 2 (30 de junio de 2022): 347–52. http://dx.doi.org/10.37391/ijeer.100247.
Texto completoGuo, Fang, Shangyun Deng, Weijia Zheng, An Wen, Jinfeng Du, Guangshan Huang y Ruiyang Wang. "Short-Term Electricity Price Forecasting Based on the Two-Layer VMD Decomposition Technique and SSA-LSTM". Energies 15, n.º 22 (11 de noviembre de 2022): 8445. http://dx.doi.org/10.3390/en15228445.
Texto completoAhrazem Dfuf, Ismael, José Mira McWilliams y María González Fernández. "Multi-Output Conditional Inference Trees Applied to the Electricity Market: Variable Importance Analysis". Energies 12, n.º 6 (21 de marzo de 2019): 1097. http://dx.doi.org/10.3390/en12061097.
Texto completoChen, Yiyuan, Yufeng Wang, Jianhua Ma y Qun Jin. "BRIM: An Accurate Electricity Spot Price Prediction Scheme-Based Bidirectional Recurrent Neural Network and Integrated Market". Energies 12, n.º 12 (12 de junio de 2019): 2241. http://dx.doi.org/10.3390/en12122241.
Texto completoShikhina, Anna V. y Tatyana V. Yagodkina. "Improving the Electricity Price Prediction Accuracy by Applying Combined Prediction Models". Vestnik MEI 6, n.º 6 (2020): 119–28. http://dx.doi.org/10.24160/1993-6982-2020-6-119-128.
Texto completoVega-Márquez, Belén, Cristina Rubio-Escudero, Isabel A. Nepomuceno-Chamorro y Ángel Arcos-Vargas. "Use of Deep Learning Architectures for Day-Ahead Electricity Price Forecasting over Different Time Periods in the Spanish Electricity Market". Applied Sciences 11, n.º 13 (30 de junio de 2021): 6097. http://dx.doi.org/10.3390/app11136097.
Texto completoWan, Can, Ming Niu, Yonghua Song y Zhao Xu. "Pareto Optimal Prediction Intervals of Electricity Price". IEEE Transactions on Power Systems 32, n.º 1 (enero de 2017): 817–19. http://dx.doi.org/10.1109/tpwrs.2016.2550867.
Texto completoErtuğrul, Hasan Murat, Mustafa Tevfik Kartal, Serpil Kılıç Depren y Uğur Soytaş. "Determinants of Electricity Prices in Turkey: An Application of Machine Learning and Time Series Models". Energies 15, n.º 20 (12 de octubre de 2022): 7512. http://dx.doi.org/10.3390/en15207512.
Texto completoLiu, Yali, Tingting Chai, Zhaoxin Zhang y Gang Long. "Towards Electricity Price and Electric Load Forecasting Using Multi-task Deep Learning". Journal of Physics: Conference Series 2171, n.º 1 (1 de enero de 2022): 012048. http://dx.doi.org/10.1088/1742-6596/2171/1/012048.
Texto completoKostrzewski, Maciej y Jadwiga Kostrzewska. "The Impact of Forecasting Jumps on Forecasting Electricity Prices". Energies 14, n.º 2 (9 de enero de 2021): 336. http://dx.doi.org/10.3390/en14020336.
Texto completoKostrzewski, Maciej y Jadwiga Kostrzewska. "The Impact of Forecasting Jumps on Forecasting Electricity Prices". Energies 14, n.º 2 (9 de enero de 2021): 336. http://dx.doi.org/10.3390/en14020336.
Texto completoPourhaji, Nazila, Mohammad Asadpour, Ali Ahmadian y Ali Elkamel. "The Investigation of Monthly/Seasonal Data Clustering Impact on Short-Term Electricity Price Forecasting Accuracy: Ontario Province Case Study". Sustainability 14, n.º 5 (6 de marzo de 2022): 3063. http://dx.doi.org/10.3390/su14053063.
Texto completoYoo, Shi Yong. "The Valuation of the Electricity Future Contract Under Weather Uncertainty". Journal of Derivatives and Quantitative Studies 12, n.º 2 (30 de noviembre de 2004): 127–55. http://dx.doi.org/10.1108/jdqs-02-2004-b0006.
Texto completoTashpulatov, Sherzod N. "The Impact of Regulatory Reforms on Demand Weighted Average Prices". Mathematics 9, n.º 10 (14 de mayo de 2021): 1112. http://dx.doi.org/10.3390/math9101112.
Texto completoKahawala, Sachin, Daswin De Silva, Seppo Sierla, Damminda Alahakoon, Rashmika Nawaratne, Evgeny Osipov, Andrew Jennings y Valeriy Vyatkin. "Robust Multi-Step Predictor for Electricity Markets with Real-Time Pricing". Energies 14, n.º 14 (20 de julio de 2021): 4378. http://dx.doi.org/10.3390/en14144378.
Texto completoDomanski, Pawel D. y Mateusz Gintrowski. "Alternative approaches to the prediction of electricity prices". International Journal of Energy Sector Management 11, n.º 1 (3 de abril de 2017): 3–27. http://dx.doi.org/10.1108/ijesm-06-2013-0001.
Texto completoPavićević, Milutin y Tomo Popović. "Forecasting Day-Ahead Electricity Metrics with Artificial Neural Networks". Sensors 22, n.º 3 (28 de enero de 2022): 1051. http://dx.doi.org/10.3390/s22031051.
Texto completoDeng, Zhuofu, Xianglong Qi, Tengteng Xu y Yingnan Zheng. "Operational Scheduling of Behind-the-Meter Storage Systems Based on Multiple Nonstationary Decomposition and Deep Convolutional Neural Network for Price Forecasting". Computational Intelligence and Neuroscience 2022 (21 de febrero de 2022): 1–18. http://dx.doi.org/10.1155/2022/9326856.
Texto completoSheha, Moataz y Kody Powell. "Using Real-Time Electricity Prices to Leverage Electrical Energy Storage and Flexible Loads in a Smart Grid Environment Utilizing Machine Learning Techniques". Processes 7, n.º 12 (21 de noviembre de 2019): 870. http://dx.doi.org/10.3390/pr7120870.
Texto completoAlshejari, Abeer, Vassilis S. Kodogiannis y Stavros Leonidis. "Development of Neurofuzzy Architectures for Electricity Price Forecasting". Energies 13, n.º 5 (5 de marzo de 2020): 1209. http://dx.doi.org/10.3390/en13051209.
Texto completoSu, Haokun, Xiangang Peng, Hanyu Liu, Huan Quan, Kaitong Wu y Zhiwen Chen. "Multi-Step-Ahead Electricity Price Forecasting Based on Temporal Graph Convolutional Network". Mathematics 10, n.º 14 (6 de julio de 2022): 2366. http://dx.doi.org/10.3390/math10142366.
Texto completoBrdyś, Mietek, Adam Borowa, Piotr Idźkowiak y Marcin Brdyś. "Adaptive Prediction of Stock Exchange Indices by State Space Wavelet Networks". International Journal of Applied Mathematics and Computer Science 19, n.º 2 (1 de junio de 2009): 337–48. http://dx.doi.org/10.2478/v10006-009-0029-z.
Texto completoKontogiannis, Dimitrios, Dimitrios Bargiotas, Aspassia Daskalopulu, Athanasios Ioannis Arvanitidis y Lefteri H. Tsoukalas. "Error Compensation Enhanced Day-Ahead Electricity Price Forecasting". Energies 15, n.º 4 (17 de febrero de 2022): 1466. http://dx.doi.org/10.3390/en15041466.
Texto completoMarcjasz, Grzegorz, Tomasz Serafin y Rafał Weron. "Selection of Calibration Windows for Day-Ahead Electricity Price Forecasting". Energies 11, n.º 9 (7 de septiembre de 2018): 2364. http://dx.doi.org/10.3390/en11092364.
Texto completoJan, Faheem, Ismail Shah y Sajid Ali. "Short-Term Electricity Prices Forecasting Using Functional Time Series Analysis". Energies 15, n.º 9 (7 de mayo de 2022): 3423. http://dx.doi.org/10.3390/en15093423.
Texto completoAnbazhagana, S. y Bhuvaneswari Ramachandran. "Ameliorating Vertically Bundled Electricity Price Prediction Exclusively from ICMLP Network". International Journal of Performability Engineering 17, n.º 4 (2021): 364. http://dx.doi.org/10.23940/ijpe.21.04.p4.364370.
Texto completoNeupane, Bijay, Wei Woon y Zeyar Aung. "Ensemble Prediction Model with Expert Selection for Electricity Price Forecasting". Energies 10, n.º 1 (10 de enero de 2017): 77. http://dx.doi.org/10.3390/en10010077.
Texto completoKo, Hee-Sang, Kwang-Y. Lee y Ho-Chan Kim. "Electricity Price Prediction Model Based on Simultaneous Perturbation Stochastic Approximation". Journal of Electrical Engineering and Technology 3, n.º 1 (1 de marzo de 2008): 14–19. http://dx.doi.org/10.5370/jeet.2008.3.1.014.
Texto completoCrisostomi, Emanuele, Claudio Gallicchio, Alessio Micheli, Marco Raugi y Mauro Tucci. "Prediction of the Italian electricity price for smart grid applications". Neurocomputing 170 (diciembre de 2015): 286–95. http://dx.doi.org/10.1016/j.neucom.2015.02.089.
Texto completoVilar, Juan, Germán Aneiros y Paula Raña. "Prediction intervals for electricity demand and price using functional data". International Journal of Electrical Power & Energy Systems 96 (marzo de 2018): 457–72. http://dx.doi.org/10.1016/j.ijepes.2017.10.010.
Texto completoCai, Qinqin, Yongqiang Zhu, Xiaohua Yang y Lin E. "Alterable Electricity Pricing Mechanism Considering the Deviation of Wind Power Prediction". Sustainability 12, n.º 5 (1 de marzo de 2020): 1848. http://dx.doi.org/10.3390/su12051848.
Texto completoMarcjasz, Grzegorz, Bartosz Uniejewski y Rafał Weron. "Beating the Naïve—Combining LASSO with Naïve Intraday Electricity Price Forecasts". Energies 13, n.º 7 (3 de abril de 2020): 1667. http://dx.doi.org/10.3390/en13071667.
Texto completoRokamwar, Kaustubh. "Feed- Forward Neural Network based Day Ahead Nodal Pricing". International Journal for Research in Applied Science and Engineering Technology 9, n.º VII (15 de julio de 2021): 1029–33. http://dx.doi.org/10.22214/ijraset.2021.36352.
Texto completoZhao, Xin, Qiushuang Li, Wanlei Xue, Yihang Zhao, Huiru Zhao y Sen Guo. "Research on Ultra-Short-Term Load Forecasting Based on Real-Time Electricity Price and Window-Based XGBoost Model". Energies 15, n.º 19 (7 de octubre de 2022): 7367. http://dx.doi.org/10.3390/en15197367.
Texto completoavi, R. Rag, M. S. Kam alesh y N. Senthil nathan. "Day Ahead Electricity Price Prediction for a Distribution System in India". International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering 04, n.º 02 (20 de febrero de 2015): 669–78. http://dx.doi.org/10.15662/ijareeie.2015.0402024.
Texto completoKim, Chang-il, In-Keun Yu y Y. H. Song. "Prediction of system marginal price of electricity using wavelet transform analysis". Energy Conversion and Management 43, n.º 14 (septiembre de 2002): 1839–51. http://dx.doi.org/10.1016/s0196-8904(01)00127-3.
Texto completoChaâbane, Najeh. "A hybrid ARFIMA and neural network model for electricity price prediction". International Journal of Electrical Power & Energy Systems 55 (febrero de 2014): 187–94. http://dx.doi.org/10.1016/j.ijepes.2013.09.004.
Texto completoBiber, Albert, Mine Tunçinan, Christoph Wieland y Hartmut Spliethoff. "Negative price spiral caused by renewables? Electricity price prediction on the German market for 2030". Electricity Journal 35, n.º 8 (octubre de 2022): 107188. http://dx.doi.org/10.1016/j.tej.2022.107188.
Texto completoDaniel, Gil-Vera Victor. "Smart Grid Stability Prediction with Machine Learning". WSEAS TRANSACTIONS ON POWER SYSTEMS 17 (6 de octubre de 2022): 297–305. http://dx.doi.org/10.37394/232016.2022.17.30.
Texto completoWu, Kehe, Yanyu Chai, Xiaoliang Zhang y Xun Zhao. "Research on Power Price Forecasting Based on PSO-XGBoost". Electronics 11, n.º 22 (16 de noviembre de 2022): 3763. http://dx.doi.org/10.3390/electronics11223763.
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