Daily Tracking and Forecasting of the Global COVID-19 Pandemic Trend Using Holt–Winters Exponential Smoothing

AbstractTo a large extent, the load balancing algorithm affects the clustering performance of the computer. This paper illustrated the common load balancing algorithms and elaborated on the advantages and drawbacks of such algorithms. In addition, this paper provides a kind of balancing algorithm generated on the basis of the load prediction. Due to the dynamic exponential smoothing model, such an algorithm helps obtain the corresponding smoothing coefficient with the server node load time series of current phrase and allows researchers to make prediction with the load value at the next moment of this node. Subsequently, the dispatcher makes the scheduling with the serve request of users according to the load predicted value. OPNET Internet simulated software is applied to the test, and we may conclude from the results that the application of such an algorithm acquires a higher load balancing efficiency and better load balancing effect.

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The Prediction Of Export Product Prices With Holt’s Double Exponential Smoothing Method

2020 3rd International Conference on Computer and Informatics Engineering (IC2IE) ◽

10.1109/ic2ie50715.2020.9274679 ◽

2020 ◽

Author(s):

Hata Maulana ◽

Ulfa Mulyantika

Keyword(s):

Exponential Smoothing ◽

Smoothing Method ◽

Double Exponential ◽

Double Exponential Smoothing ◽

Exponential Smoothing Method ◽

Export Product

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NAES: A Natural Adaptive Exponential Smoothing for Channel Prediction in WLANs

2007 2nd International Symposium on Wireless Pervasive Computing ◽

10.1109/iswpc.2007.342650 ◽

2007 ◽

Author(s):

Jeandro Bezerra ◽

Rudy Braquehais ◽

Filipe Roberto ◽

Jorge Silva ◽

Marcial Fernandez ◽

...

Keyword(s):

Exponential Smoothing ◽

Channel Prediction

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Estimation of Domestic Solid Waste Amount with Exponential Smoothing Method and Artificial Neural Network Models: An Application for Istanbul Province

2020 Innovations in Intelligent Systems and Applications Conference (ASYU) ◽

10.1109/asyu50717.2020.9259821 ◽

2020 ◽

Author(s):

Merve Akgul ◽

Eyup Ensar Kalayci ◽

Buket Dogan ◽

Banu Calis Uslu

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Solid Waste ◽

Network Models ◽

Exponential Smoothing ◽

Smoothing Method ◽

Neural Network Models ◽

Domestic Solid Waste ◽

Artificial Neural Network Models ◽

Exponential Smoothing Method

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Using Earned Value Management with exponential smoothing technique to forecast project cost

Journal of Physics Conference Series ◽

10.1088/1742-6596/1955/1/012101 ◽

2021 ◽

Vol 1955 (1) ◽

pp. 012101

Author(s):

Mengyuan Zhao ◽

Xuemin Zi

Keyword(s):

Exponential Smoothing ◽

Value Management ◽

Smoothing Technique ◽

Earned Value ◽

Earned Value Management ◽

Project Cost ◽

Exponential Smoothing Technique

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A Hybrid Residual Dilated LSTM and Exponential Smoothing Model for Midterm Electric Load Forecasting

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2020.3046629 ◽

2021 ◽

pp. 1-13

Author(s):

Grzegorz Dudek ◽

Pawel Pelka ◽

Slawek Smyl

Keyword(s):

Load Forecasting ◽

Exponential Smoothing ◽

Electric Load ◽

Electric Load Forecasting

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