Results 11 to 20 of about 113,463 (315)

Long-term telecommunication forecasting

, 2006
The key word for the thesis is long-term demand forecasting which have been applied on telecommunications and especially on broadband accesses and traffic. The objective with the thesis has been to structure and present work on long-term broadband forecasting, to evaluate the forecasting results and to extract the learning.
Stordahl, Kjell
openaire   +2 more sources

Aggregating Strategies for Long-term Forecasting

CoRR, 2018
20 pages, 4 ...
Alexander Korotin, Vladimir V'yugin, Evgeny Burnaev   +2 more
openaire   +3 more sources

Improving forecasting by estimating time series structural components across multiple frequencies [PDF]

, 2014
Identifying the appropriate time series model to achieve good forecasting accuracy is a challenging task. We propose a novel algorithm that aims to mitigate the importance of model selection, while increasing accuracy.
Trapero Arenas, J.R, Trapero, Juan R., Trapero, Juan Ramon, Kourentzes, Nikos, Petropoulos, Fotios, Kourentzes, Nikolaos,, Trapero, Juan R.,, Kourentzes, Nikolaos, Petropoulos, Fotios,   +8 more
core   +1 more source

Short–long-term streamflow forecasting using a coupled wavelet transform–artificial neural network (WT–ANN) model at the Gilgit River Basin, Pakistan

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, Prince Mahmood, Sajjad Haider, Shakil Ahmad, Khan Zaib Jadoon, Rashid Farooq, Sibtain Syed, Khalil Ahmad   +7 more
doaj   +1 more source

Woa-wtconv-kanformer for long term time series forecasting.

PLoS ONE
Multivariate time series analysis and prediction are of great significance in traffic management, weather forecasting and other practical applications.
Meng Ling Ming, Qi Wei Min, Dong Yi Fan, Zheng Yu Ning   +3 more
doaj   +2 more sources

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
doaj   +1 more source

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, Zablocka Julita, Wandachowicz Krzysztof, Raczak Agata   +3 more
doaj   +1 more source

Forecasting Nonadiabatic Dynamics using Hybrid Convolutional Neural Network/Long Short-Term Memory Network

, 2021
Modeling nonadiabatic dynamics in complex molecular or condensed-phase systems has been challenging especially for the long-time dynamics. In this work, we propose a time series machine learning scheme based on the hybrid convolutional neural network ...
Jiebo, Li, Xiang, Sun, Daxin, Wu, Zhubin, Hu   +3 more
core   +1 more source

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, Yaru Liu, Jiachen Hou, Suoping Wang, Huaming Yao   +4 more
doaj   +1 more source

Performance Analysis of Statistical, Machine Learning and Deep Learning Models in Long-Term Forecasting of Solar Power Production

, 2023
The Machine Learning/Deep Learning (ML/DL) forecasting model has helped stakeholders overcome uncertainties associated with renewable energy resources and time planning for probable near-term power fluctuations.
Qin Wang, Pol, Suhas, Dhamala, Anibesh, Argenis Bilbao, Ashish Sedai, Anibesh Dhamala, Gautam, Shishir, Suhas Pol, Sedai, Ashish, Wigington, Adam, Adam Wigington, Shishir Gautam, Dhakal, Rabin, Rabin Dhakal, Bilbao, Argenis, Wang, Qin   +15 more
core   +1 more source