Výsledky vyhledávání - "forecasting algorithm"

Dynamic thermal line rating model of conductor based on prediction of meteorological parameters Autor Song, Tianhua, Teh, Jiashen

“…The main contributions of this article are as follows:•Proposing a new DTLR prediction model based on knowledge-driven and data-driven.•Preprocessing of the…”
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Towards understanding the importance of time-series features in automated algorithm performance prediction Autor Petelin, Gašper, Cenikj, Gjorgjina, Eftimov, Tome

“…Accurate and reliable forecasting is a crucial task in many different domains. The selection of a forecasting algorithm that is suitable for a specific time…”
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Visualising forecasting algorithm performance using time series instance spaces Autor Kang, Yanfei, Hyndman, Rob J., Smith-Miles, Kate

“…It is common practice to evaluate the strength of forecasting methods using collections of well-studied time series datasets, such as the M3 data. The question…”
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Cost-effective energy management of an islanded microgrid Autor Szilagyi, Eniko, Petreus, Dorin, Paulescu, Marius, Patarau, Toma, Hategan, Sergiu-Mihai, Sarbu, Nicolae Alexandru

“…The interest in the integration of distributed energy resources in microgrids increased significantly in the last decade. The stochastic nature of some energy…”
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Short-term forecasting model for residential indoor temperature in DHS based on sequence generative adversarial network Autor Song, Jiancai, Bian, Tianxiang, Xue, Guixiang, Wang, Hanyu, Shen, Xingliang, Wu, Xiangdong

“…With the rapid development of the economy and the continuous improvement of people's living conditions, building thermal comfort has become one of the…”
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A generalized grey model with symbolic regression algorithm and its application in predicting aircraft remaining useful life Autor Liu, Lianyi, Liu, Sifeng, Yang, Yingjie, Guo, Xiaojun, Sun, Jinghe

“…As a sparse data analysis method, a grey model faces challenges in interpretability for its effective application in uncertain systems. This study proposes a…”
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Forecasting the cryptocurrency exchange rate based on the ranking of expert opinions Autor Gavrilenko, Olena, Myagkyi, Mykhailo

“…To date, most existing cryptocurrency exchanges do not have in their arsenal tools that would allow them to verify and investigate the information disseminated…”
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Deep RNN-Based Photovoltaic Power Short-Term Forecast Using Power IoT Sensors Autor Ahn, Hyung Keun, Park, Neungsoo

“…Photovoltaic (PV) power fluctuations caused by weather changes can lead to short-term mismatches in power demand and supply. Therefore, to operate the power…”
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ART-LSTANet: An adaptive intelligent method for wind turbine wake analysis Autor Xu, Li, Zhou, Guanhao, Guo, Zhaoliang

“…The analysis of wake effects within wind farms is paramount to elevating power generation efficiency, especially when considering the losses incurred by wake…”
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Multiple strategies for a novel hybrid forecasting algorithm of ozone based on data-driven models Autor Cheng, Yong, Zhu, Qiao, Peng, Yan, Huang, Xiao-Feng, He, Ling-Yan

“…Ground-level ozone is an air pollutant that has adverse impacts on human health and vegetation growth. The accurate prediction of ozone concentrations is…”
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Forecasting performance comparison of two hybrid machine learning models for cooling load of a large-scale commercial building Autor Xuan, Zhou, Xuehui, Zi, Liequan, Liang, Zubing, Fan, Junwei, Yan, Dongmei, Pan

“…The hourly cooling load forecasting of a commercial building is very hard to be guaranteed with high accuracy. Due to the high cost of purchase, installation…”
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Forecasting the cryptocurrency exchange rate based on the ranking of expert opinions Autor Олена Гавриленко, Михайло Мягкий

“…To date, most existing cryptocurrency exchanges do not have in their arsenal tools that would allow them to verify and investigate the information disseminated…”
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Forecasting Popularity of Videos Using Social Media Autor Jie Xu, van der Schaar, Mihaela, Jiangchuan Liu, Haitao Li

“…This paper presents a systematic online prediction method (Social-Forecast) that is capable to accurately forecast the popularity of videos promoted by social…”
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Research on Surface Water State for Rivers in Western Ukraine Using Time Series Forecasting Methods Autor Bytsyura, Leonid, Szczepanik-Scislo, Nina, Desyatnyuk, Oksana, Shakhovska, Natalya, Scislo, Lukasz, Sachenko, Anatoliy, Lototska, Olena, Shevchuk, Ihor, Sofinska, Oksana

“…This study presents a data-driven forecasting framework for surface water state trends using time-series modelling based on hydrochemical monitoring data from…”
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Distributed Economic Optimal Scheduling Scheme for Ship-Integrated Energy System Based on Load Prediction Algorithm Autor Zhang, Yuxin, Shan, Qihe, Teng, Fei, Li, Tieshan

“…In order to enhance navigation safety and promote environmental protection, this paper takes the problem of energy management in a ship-integrated energy…”
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GRL-ITransformer: An Intelligent Method for Multi-Wind-Turbine Wake Analysis Based on Graph Representation Learning With Improved Transformer Autor Han, Kang, Xu, Li

“…The importance of examining the wake effect of wind farms for optimizing their layout and augmenting their power generation efficiency is immense. Considering…”
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A Frequency Decomposition-Based Hybrid Forecasting Algorithm for Short-Term Reactive Power Autor Du, Jiabao, Yue, Changxi, Shi, Ying, Yu, Jicheng, Sun, Fan, Xie, Changjun, Su, Tao

“…This paper proposes a new frequency decomposition-based hybrid reactive power forecasting algorithm, EEMD-LSTM-RFR (ELR), which adopts a strategy of frequency…”
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Hybrid algorithms based on historical accuracy for forecasting particulate matter concentrations Autor Thanavanich, Thanawut, Yaibuates, Mayoon, Duangtang, Pumipong, Winyangkul, Seksan

“…Air pollution has become one of the most significant problems impacting human health. Particulate matter (PM) 2.5 is usually used as an identifier of the…”
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Research on crude oil price forecasting based on computational intelligence Autor Li, Ming, Li, Ying

“…The crude oil market, as a complex evolutionary nonlinear driving system, is by nature a highly noisy, nonlinear and deterministic chaotic series of price…”
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Sound branch cash management for less: A low-cost forecasting algorithm under uncertain demand Autor García Cabello, Julia, Lobillo, F.J.

“…This paper deals with cash management for bank branches, under the assumption that branches have a role to play in the improvement of global bank institution…”
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