Results 11 to 20 of about 60,268 (218)

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

open access: yesJournal 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
doaj   +1 more source

Forecasting long term lumen maintenance of LED lamps

open access: yesITM 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
doaj   +1 more source

METHODOLOGY FOR FORECASTING PJSC LUKOIL STOCK QUOTATIONS IN THE LONG TERM

open access: yesВекторы 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

Optimized Deep Stacked Long Short-Term Memory Network for Long-Term Load Forecasting

open access: yesIEEE Access, 2021
Long-term load forecasting (LTLF) is an essential process for strategical planning of the future needed extension in the power systems of any country.
Tamer Ahmed Farrag, Ehab E. Elattar
doaj   +1 more source

Study on Medium and Long Term Power Load Forecasting Based on Combination Forecasting Model

open access: yesChemical Engineering Transactions, 2016
Load forecasting is an important work in the electric power department, and the medium and long term load forecasting is mainly aimed at the electric power generation planning and development planning.
Y. Feng
doaj   +1 more source

Medium- and Long-Term Wind-Power Forecasts, Considering Regional Similarities

open access: yesAtmosphere, 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
doaj   +1 more source

Short-Term Load Forecasting Based on Complementary Ensemble Empirical Mode Decomposition and Long Short-Term Memory

open access: yesZhongguo 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
doaj   +1 more source

Justification of the acceptability of a hybrid approach to passenger and freight flows' predictive modelling in the context of sustainable development [PDF]

open access: yesE3S Web of Conferences
The relevance of the study is determined by the need for more accurate long-term forecasting in modeling passenger and freight flows. The methodological basis of the study consists of methods of analysis and forecasting of time series, methods of ...
Shapoval Ganna   +5 more
doaj   +1 more source

A Study on Load Forecasting of Distribution Line Based on Ensemble Learning for Mid- to Long-Term Distribution Planning

open access: yesEnergies, 2022
The complexity and uncertainty of the distribution system are increasing as the connection of distributed power sources using solar or wind energy is rapidly increasing, and digital loads are expanding. As these complexity and uncertainty keep increasing
Jintae Cho   +5 more
doaj   +1 more source

Personalized Zebrafish Models for Fusion‐Positive Pediatric Sarcomas

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Clinical sequencing efforts have revolutionized our approaches to categorizing pediatric cancers in real time. This has dramatically improved our ability to profile pediatric tumors, identify actionable vulnerabilities, and influence clinical care.
Lisa H. Hall   +2 more
wiley   +1 more source

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