Results 11 to 20 of about 527,315 (302)
Journal of Hydroinformatics, 2023 Streamflow forecasting is highly crucial in the domain of water resources. For this study, we coupled the Wavelet Transform (WT) and Artificial Neural Network (ANN) to forecast Gilgit streamflow at short-term (T0.33 and T0.66), intermediate-term (T1 ...
Zain Syed +7 more
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Woa-wtconv-kanformer for long term time series forecasting.
PLoS ONEMultivariate time series analysis and prediction are of great significance in traffic management, weather forecasting and other practical applications.
Meng Ling Ming +3 more
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METHODOLOGY FOR FORECASTING PJSC LUKOIL STOCK QUOTATIONS IN THE LONG TERM
Векторы благополучия: экономика и социум, 2022 The article presents a methodology for forecasting stock quotes of the Russian oil company PJSC Lukoil in the long term. The methodology is based on the creation of a system of indicators that affect the performance of PJSC Lukoil in external economic ...
Ludmila I. Tenkovskaya
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Medium- and Long-Term Wind-Power Forecasts, Considering Regional Similarities
Atmosphere, 2023 Accurate and efficient medium- and long-term forecasts of wind power can provide technical support for the efficient development and utilization of wind resources. Considering the regional characteristics of wind resources, the regional-similarity factor
Xianxun Wang +4 more
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Forecasting long term lumen maintenance of LED lamps
ITM Web of Conferences, 2018 Due to the very high life of LED lamps, amounting to tens of thousands of hours, the life declared by the manufacturer is most often life determined on the basis of the method of forecasting the long term lumen maintenance.
Zalesinska Malgorzata +3 more
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Forecasting long-term gas production from shale [PDF]
Proceedings of the National Academy of Sciences, 2013 Oil and natural gas from deep shale formations are transforming the United States economy and its energy outlook. Back in 2005, the US Energy Information Administration published projections of United States natural gas supply that stressed the need to develop an import infrastructure (1): by 2025, imports would account for almost one-third of United ...
Cueto-Felgueroso, Luis, Juanes, Ruben
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Probabilistic population forecasting: Short to very long-term
International Journal of Forecasting, 2023 Population forecasts are used by governments and the private sector for planning, with horizons up to about three generations (around 2100) for different purposes. The traditional methods are deterministic using scenarios, but probabilistic forecasts are desired to get an idea of accuracy, assess changes, and make decisions involving risks.
Raftery, Adrian E., Ševčíková, Hana
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Long-Term Forecasting of Internet Backbone Traffic [PDF]
IEEE Transactions on Neural Networks, 2005 We introduce a methodology to predict when and where link additions/upgrades have to take place in an Internet protocol (IP) backbone network. Using simple network management protocol (SNMP) statistics, collected continuously since 1999, we compute aggregate demand between any two adjacent points of presence (PoPs) and look at its evolution at time ...
Konstantina, Papagiannaki +3 more
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Travel Time Prediction using Tree-Based Ensembles
, 2020 In this paper, we consider the task of predicting travel times between two arbitrary points in an urban scenario. We view this problem from two temporal perspectives: long-term forecasting with a horizon of several days and short-term forecasting with a ...
B Yu +12 more
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Zhongguo dianli, 2020 With the continuous development of power industry, the importance of load forecasting is becoming more and more obvious. As an important part of load forecasting, short-term load forecasting is of great significance to the dispatching and operation of ...
Huiru ZHAO, Yihang ZHAO, Sen GUO
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