Results 31 to 40 of about 3,518,669 (281)

Developing a Novel Long Short-Term Memory Networks with Seasonal Wavelet Transform for Long-Term Wind Power Output Forecasting

International Journal of Computational Intelligence Systems, 2023
Long-term wind power forecasting is a challenging endeavor that requires predictions that span years into the future. Accurate forecasting is crucial for optimizing energy production, grid integration, maintenance scheduling, and financial planning. This
Kuen-Suan Chen, Ting-Yu Lin, Kuo-Ping Lin, Ping-Teng Chang, Yu-Chen Wang   +4 more
doaj   +1 more source

FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting [PDF]

Neural Information Processing Systems, 2022
Recent studies have shown that deep learning models such as RNNs and Transformers have brought significant performance gains for long-term forecasting of time series because they effectively utilize historical information.
Tian Zhou, Ziqing Ma, Xue Wang, Qingsong Wen, Liang Sun, Tao Yao, Rong Jin   +6 more
semanticscholar   +1 more source

Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping [PDF]

arXiv.org, 2023
Long-term time series forecasting has gained significant attention in recent years. While there are various specialized designs for capturing temporal dependency, previous studies have demonstrated that a single linear layer can achieve competitive ...
Zhe Li, Shiyi Qi, Yiduo Li, Zenglin Xu
semanticscholar   +1 more source

Long-Term Forecasting of Electrical Loads in Kuwait Using Prophet and Holt–Winters Models

Applied Sciences, 2020
The rapidly increasing population growth and expansion of urban development are undoubtedly two of the main reasons for increasing global energy consumption. Accurate long-term forecasting of peak load is essential for saving time and money for countries’
A. Almazrouee, A. Almeshal, Abdulrahman S. Almutairi, Mohammad R. Alenezi, S. Alhajeri   +4 more
semanticscholar   +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

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

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 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
openaire   +3 more sources