Results 31 to 40 of about 95,141 (307)

A decomposition‐based multi‐time dimension long short‐term memory model for short‐term electric load forecasting

open access: yesIET Generation, Transmission & Distribution, 2021
Short‐term load forecasting is essential to power systems management. However, most existing forecasting methods fail to fully consider how to rationally integrate the intrinsic time‐related dimensions of electric load data and the decomposition methods ...
Jiehui Huang   +4 more
doaj   +1 more source

Benchmarking physics-informed machine learning-based short term PV-power forecasting tools

open access: yesEnergy Reports, 2022
Uncertainty is one of the core challenges posed by renewable energy integration in power systems, especially for solar photovoltaic (PV), given its dependence on meteorological phenomena.
Daniel Vázquez Pombo   +5 more
doaj   +1 more source

Soft computing based techniques for short-term load forecasting

open access: yes, 2002
Neural networks are currently finding practical applications, ranging from 'soft' regulatory control in consumer products to accurate modelling of non-linear systems.
Anagnostakis, E.M., Kodogiannis, V.
core   +1 more source

Optimized Forecasting Model to Improve the Accuracy of Very Short-Term Wind Power Prediction

open access: yes, 2023
This article proposes a novel framework to improve the prediction accuracy of very short-term (5-min) wind power generation. The framework consists of complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), monarch butterfly ...
Gray, Evan   +20 more
core   +1 more source

Short term electricity load forecasting for institutional buildings

open access: yesEnergy Reports, 2019
Peak load demand forecasting is important in building unit sectors, as climate change, technological development, and energy policies are causing an increase in peak demand. Thus, accurate peak load forecasting is a critical role in preventing a blackout
Yunsun Kim, Heung-gu Son, Sahm Kim
doaj   +1 more source

A novel forward operator-based Bayesian recurrent neural network-based short-term net load demand forecasting considering demand-side renewable energy

open access: yesFrontiers in Energy Research, 2022
Currently, traditional electricity consumers are now shifting to a new role of prosumers since more integration of renewable energy to demand side. Accurate short-term load demand forecasting is significant to safe, stable, and reliable operation of a ...
Jiying Wen   +3 more
doaj   +1 more source

SHORT TERM FORECASTING OF SULFATE CONCENTRATIONS IN BAGHDAD

open access: yesJournal of Engineering, 2008
Water quality control is an important protection issue. The analysis of the water quality parameters and the prediction of their changes in future, are important in the planning for water pollution control program.
Rafa H. Al-Suhaili   +1 more
doaj   +1 more source

Spatial‐temporal learning structure for short‐term load forecasting

open access: yesIET Generation, Transmission & Distribution, 2023
In the power system operational/planning studies, it is a crucial task to provide the load consumption information in the look‐ahead times. The huge variation of the power system infrastructure in recent years has led to significant changes in the ...
Mahtab Ganjouri   +3 more
doaj   +1 more source

Therapeutic Apheresis for Intravenous Methylprednisolone‐Refractory Neuromyelitis Optica Spectrum Disorder: Clinical and Radiological Outcomes in a Single‐Center Case Series

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Neuromyelitis optica spectrum disorder (NMOSD) is a relapsing autoimmune disease of the central nervous system. High‐dose intravenous methylprednisolone (IVMP) is the standard first‐line therapy for acute attacks, although some patients remain refractory.
Wataru Horiguchi   +5 more
wiley   +1 more source

Comparison methods of short term electrical load forecasting

open access: yesMATEC Web of Conferences, 2018
The supply of electricity that exceeds the load requirement results in the occurrence of electrical power losses. To provide the appropriate power supply to these needs, there must be a plan for the provision of electricity by making prediction or ...
Hartono, Marifa Ahmad Arif, Sadikin M.
doaj   +1 more source

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