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Research on Bamboo Scrimber's Compressive Creep Behaviour Based on Different Kelvin-Voigt Models. [PDF]
Materials (Basel)Miao Z +5 more
europepmc +1 more source
A Hybrid Residual Dilated LSTM and Exponential Smoothing Model for Midterm Electric Load Forecasting [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2022 This work presents a hybrid and hierarchical deep learning model for mid-term load forecasting. The model combines exponential smoothing (ETS), advanced Long Short-Term Memory (LSTM) and ensembling. ETS extracts dynamically the main components of each individual time series and enables the model to learn their representation.
Grzegorz Dudek, Pawel Pelka, Slawek Smyl
exaly +5 more sources
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A Multivariant Exponential Shared-Load Model
IEEE Transactions on Reliability, 1993A shared-load model of the exponential distribution is used to describe the characteristics of dependent redundancies. In the shared-load model, the redundant components equally share the workload. Upon failure of one or more components, the remaining components must carry an increased load.
Hsin-Hui Lin, Kaung-Hwa Chen
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Estimation of Exponential and ZIP Load Model of Aggregated Load With Distributed Generation
2021 IEEE 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), 2021Madis Leinakse +2 more
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Modelling Aggregated Load With Distributed Generation by Exponential Load Model
2021 IEEE 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), 2021Madis Leinakse
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Real-Time Dynamic Parameter Estimation for an Exponential Dynamic Load Model
IEEE Transactions on Smart Grid, 2016This paper is concerned about real-time modeling and identification of dynamically changing loads in power systems. An exponential dynamic load model was proposed earlier and was well accepted by several investigators who worked on this paper. This paper considers this model and identifies its parameters in real-time based on synchronously sampled ...
Ali Abur, Alireza Rouhani
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A Study on Exponential Smoothing Model for Load Forecasting
2012 Asia-Pacific Power and Energy Engineering Conference, 2012Exponential smoothing model is one of the main load forecasting models of power systems, the accuracy of the model depends on smoothing coefficient. In this paper, a study on how to seek the best smoothing coefficient is given. The results show that using the principle of weighting more on near data and weighting less on far data to seek the optimal ...
Peirong Ji, Di Xiong
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IEEE Transactions on Cloud Computing, 2022
More and more enterprises are beginning to use Docker containers to build cloud platforms. Predicting the resource usage of container workload has been an important and challenging problem to improve the performance of cloud computing platform. The existing prediction models either incur large time overhead or have insufficient accuracy.
Yulai Xie, Gongming Xu, Darrell Long
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More and more enterprises are beginning to use Docker containers to build cloud platforms. Predicting the resource usage of container workload has been an important and challenging problem to improve the performance of cloud computing platform. The existing prediction models either incur large time overhead or have insufficient accuracy.
Yulai Xie, Gongming Xu, Darrell Long
exaly +3 more sources