Results 21 to 30 of about 46,138 (245)

Optimal Coefficient Selection of Exponential Smoothing Model in Short Term Load Forecasting on Weekdays [PDF]

open access: yesThe Transactions of The Korean Institute of Electrical Engineers, 2013
Short term load forecasting for electric power demand is essential for stable power system operation and efficient power market operation. High accuracy of the short term load forecasting can keep the power system more stable and save the power market operation cost.
Kyung-Bin Song   +2 more
openaire   +1 more source

Analysis of Coupling Effect and Heavy Load of High-Temperature Stability of Asphalt Mixture

open access: yesAdvances in Materials Science and Engineering, 2022
To study the variation in the high-temperature stability of asphalt mixtures under extreme high temperature and heavy load, rut tests and analyses were carried out with both the APA (asphalt pavement analyzer) test and CLWT (Chinese wheel load test).
Lu Bai, Yong-sheng Zhang, Dai-song Luo
doaj   +1 more source

A Simple Hybrid Model for Short-Term Load Forecasting

open access: yesJournal of Engineering, 2013
The paper proposes a simple hybrid model to forecast the electrical load data based on the wavelet transform technique and double exponential smoothing.
Suseelatha Annamareddi   +2 more
doaj   +1 more source

Short-Term Power Load Forecasting Method Based on Improved Exponential Smoothing Grey Model [PDF]

open access: yesMathematical Problems in Engineering, 2018
In order to improve the prediction accuracy, this paper proposes a short-term power load forecasting method based on the improved exponential smoothing grey model. It firstly determines the main factor affecting the power load using the grey correlation analysis. It then conducts power load forecasting using the improved multivariable grey model.
Jianwei Mi   +3 more
openaire   +1 more source

Grey prediction model of power load based on exponential smoothing improvement [PDF]

open access: yesAIP Conference Proceedings, 2017
Grey system theory has the advantages of needing little sample data and calculating no characteristic quantity; it is widely applied in power load prediction; but it has certain limitation the larger the data discretization degree is, the larger the gray scale is and the larger the influence on prediction precision is.
openaire   +1 more source

Initial Electrical Parameter Validation in Lead-Acid Battery Model Used for State Estimation

open access: yesHungarian Journal of Industry and Chemistry, 2017
The paper presents a current impulse-based excitation method for lead-acid batteries in order to define the initial electrical parameters for model-based online estimators.
Csomós Bence   +2 more
doaj   +1 more source

An improved exponential model for charge and discharge behavior of printed supercapacitor modules under varying load conditions

open access: yesJournal of Power Sources, 2022
Peer ...
Pourkheirollah, Hamed   +3 more
openaire   +3 more sources

A data-driven method for dynamic load forecasting of scraper conveyer based on rough set and multilayered self-normalizing gated recurrent network

open access: yesEnergy Reports, 2021
The dynamic load forecasting of scraper conveyer is one of the key problems that need to be solved in unmanned coal mining. The dynamic load forecasting system of scraper conveyer is a complex, multivariable, and nonlinear system, and there are coupling ...
Haitao He   +5 more
doaj   +1 more source

Hysteresis Behavior Modeling of Magnetorheological Elastomers under Impact Loading Using a Multilayer Exponential-Based Preisach Model Enhanced with Particle Swarm Optimization

open access: yesPolymers, 2023
Magnetorheological elastomers (MREs) are a type of smart material that can change their mechanical properties in response to external magnetic fields. These unique properties make them ideal for various applications, including vibration control, noise reduction, and shock absorption.
Alawiyah Hasanah Mohd Alawi   +3 more
openaire   +2 more sources

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

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