Electricity Load Forecasting using Hybrid of Multiplicative Double Seasonal Exponential Smoothing Model with Artificial Neural Network [PDF]
Jurnal Teknologi, 2014 Electricity load forecasting often has many properties such as the nonlinearity, double seasonal cycles, and others those may be obstacles for the accuracy of forecasting using some classical statistical models. Many papers in this field have proposed using double seasonal (DS) exponential smoothing model to forecast.
Shukur, Osamah Basheer +3 more
core +5 more sources
A Simple Hybrid Model for Short-Term Load Forecasting [PDF]
Journal 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 +2 more sources
Fault location in power distribution systems considering a dynamic load model [PDF]
Ingeniería e Investigación, 2015 In the electrical power systems, load is one of the most difficult elements to be represented by an adequate mathematical model due to its complex composition and dynamic and non-deterministic behavior.
Harold Andres Cifuentes Chaves +2 more
doaj +3 more sources
The predicted load balancing algorithm based on the dynamic exponential smoothing [PDF]
Open Physics, 2020 To 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.
Yan Lijie, Liu Xudong
doaj +2 more sources
Analysis and Modeling for Short- to Medium-Term Load Forecasting Using a Hybrid Manifold Learning Principal Component Model and Comparison with Classical Statistical Models (SARIMAX, Exponential Smoothing) and Artificial Intelligence Models (ANN, SVM): The Case of Greek Electricity Market [PDF]
Energies, 2016 In this work we propose a new hybrid model, a combination of the manifold learning Principal Components (PC) technique and the traditional multiple regression (PC-regression), for short and medium-term forecasting of daily, aggregated, day-ahead, electricity system-wide load in the Greek Electricity Market for the period 2004–2014.
Panagiotis Papaioannou
exaly +3 more sources
International Journal of Electrical Power and Energy Systems, 2016 Abstract In this paper an analytical design method is proposed for constant voltage controlled inverter based DG with frequency dependent ZIP–Exponential static load model to obtain proper inverter output control and successful islanding detection.
S R Samantaray
exaly +2 more sources
IEEE Transactions on Neural Networks and Learning SystemsShort-term load forecasting (STLF) is challenging due to complex time series (TS) which express three seasonal patterns and a nonlinear trend. This paper proposes a novel hybrid hierarchical deep learning model that deals with multiple seasonality and produces both point forecasts and predictive intervals (PIs).
Grzegorz Dudek +2 more
exaly +4 more sources
Personalized Virus Load Curves for Acute Viral Infections
Viruses, 2021 We introduce an explicit function that describes virus-load curves on a patient-specific level. This function is based on simple and intuitive model parameters.
Carlos Contreras +2 more
doaj +1 more source
Modelling the Innate Immune Response against Avian Influenza Virus in Chicken. [PDF]
PLoS ONE, 2016 At present there is limited understanding of the host immune response to (low pathogenic) avian influenza virus infections in poultry. Here we develop a mathematical model for the innate immune response to avian influenza virus in chicken lung ...
T J Hagenaars +8 more
doaj +1 more source
Study on thermo-mechanical properties of energy piles based on the improved exponential model
Case Studies in Thermal Engineering, 2023 To further investigate the effects of temperature on the bearing capacity of the energy pile, the influence of soil temperature was considered and the pile top displacement corresponding to the ultimate side friction resistance of the energy pile was ...
Hong Chang +3 more
doaj +1 more source