Results 21 to 30 of about 527,315 (302)

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

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

Go with the flow: Recurrent networks for wind time series multi-step forecasting [PDF]

open access: yes, 2018
One of the ways of reducing the effects of Climate Change is to rely on renewable energy sources. Their intermittent nature makes necessary to obtain a mid-long term accurate forecasting.
Béjar Alonso, Javier   +2 more
core   +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

Combination Forecasts of Bond and Stock Returns: An Asset Allocation Perspective [PDF]

open access: yes, 2012
We investigate the out-of-sample forecasting ability of the HML, SMB, momentum, short-term and long-term reversal factors along with their size and value decompositions on U.S.
A Abhyankar   +32 more
core   +1 more source

Medium-long term load forecasting method considering industry correlation for power management

open access: yesEnergy Reports, 2021
Medium-long term load forecasting is recognized as the basis of economic dispatch in power systems, and high-precision load forecasting results can provide effective support for power management.
Yuxuan Jiang   +9 more
doaj   +1 more source

Individualized Short-Term Electric Load Forecasting Using Data-Driven Meta-Heuristic Method Based on LSTM Network

open access: yesSensors, 2022
Short-term load forecasting is viewed as one promising technology for demand prediction under the most critical inputs for the promising arrangement of power plant units.
Lichao Sun   +4 more
doaj   +1 more source

Power load forecasting [PDF]

open access: yes, 2006
For the electric power factory, the power load forecasting problem, including load forecasting and consumption predicting, is crucial to work planning. According to the predicting time, it can be divided into long-term forecasting, mid-term forecasting ...
Hao, Z., Lu, L., Shao, D.
core  

Personalized Selumetinib Dosing in Pediatric Neurofibromatosis Type 1: Insights From a Pilot Therapeutic Drug Monitoring Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács   +8 more
wiley   +1 more source

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