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The Review on the Modified Exponential Model in the Fitting of Loading-Settlement Curves of Single Pile

Applied Mechanics and Materials, 2014
According to optimized fitting analysis for measured data in static load test of 22 different types of single piles, a new modified exponential model was proposed by authors in this paper. In comparison between the hyperbolic model and the integrated exponential curve model, the correlativity coefficients R
Yu Chuan Shuan   +2 more
openaire   +1 more source

Wavelet-Exponential Smoothing: a New Hybrid Method for Suspended Sediment Load Modeling

Environmental Processes, 2019
In this study, four conventional and a newly proposed method of wavelet-exponential smoothing (WES) - with two presented scenarios (WES1 and WES2) – are employed to estimate daily and monthly suspended sediment load (SSL) in two rivers (Lighvanchai river in Iran and Upper Rio Grande in the USA), which have different hydro-geomorphological ...
Elnaz Sharghi   +3 more
openaire   +1 more source

Experiences about calculating ZIP and exponential load model parameters

International Journal of Emerging Electric Power Systems
Abstract To reduce greenhouse emission and achieve sustainability in the electric power industry, improved efficiency and energy conservation are key to finding a sound solution. Energy conservation through voltage reduction (CVR) is one such program.
Yiqi Zhang, Yuan Liao, Gaurav Yadav
openaire   +1 more source

ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting

open access: yesIEEE Transactions on Neural Networks and Learning Systems
Short-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, Pawel Pelka, Slawek Smyl
exaly   +6 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]

open access: yesEnergies, 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

Describing Fatigue Crack Growth and Load Ratio Effects in Al 2524 T3 Alloy With an Enhanced Exponential Model

Mechanics of Materials, 2012
Abstract The fatigue crack behavior in metals and alloys under constant amplitude test conditions is usually described by relationships between the crack growth rate da/dN and the stress intensity factor range ΔK. In the present work, an enhanced two-parameter exponential equation of fatigue crack growth was introduced in order to describe sub ...
C A R P Baptista
exaly   +3 more sources

The use of the exponential Drucker-Prager material model for defining the failure loads of the mono and bi-adhesive joints

International Journal of Adhesion and Adhesives, 2017
Abstract In this study, our previous experimental study was extended applying the exponential Drucker-Prager (EDP) yield criterion to define the numerical failure loads for mono and bi-adhesive single lap joints (SLJs) [Oz and Ozer, 2016]. Bi-adhesive (or hybrid adhesive) joint is an alternative stress-reduction technique for adhesively bonded lap ...
ÖZER, Halil, ÖZ, ÖZKAN
openaire   +2 more sources

Prediction of fatigue crack growth and residual life using an exponential model: Part I (constant amplitude loading)

International Journal of Fatigue, 2009
In the present investigation an attempt has been made to introduce a life prediction methodology by adopting an ‘Exponential Model’ that can be used without integration of fatigue crack growth rate curve. The predicted results are compared with experimental crack growth data obtained for 7020-T7 and 2024-T3 aluminum alloy specimens under constant ...
J MOHANTY, B VERMA, P RAY
openaire   +1 more source

Performance study of the reactively loaded power amplifier by transmission line modeling (TLM) with exponential switching resistance (ESR)

Microwave and Optical Technology Letters, 1993
AbstractA model combining transmission line modeling (TLM) and exponential switching resistance (ESR) of active devices is introduced in the equivalent circuit to simulate the real performance of the reactively loaded power amplifier. Using the TLM, the distributed circuit parameters can be controlled by the time step size, and the collector efficiency
Cheung Chi‐Wai, Yam Yu‐On
openaire   +1 more source

Unbiased Direct DGM(1,1) Model of Non-Homogeneous Exponential Sequence and Its Application in Electric Load Forecasting

Advanced Materials Research, 2013
The traditional GM (1,1) has been used widely in the load forecasting, however, there are many defects in the GM (1,1). In order to overcome these defects and expand the application scope of the grey model in load forecasting, a new load forecasting method based on DDGM(1,1) is presented. First, the recursive solution of DDGM(1,1) is given. Then, based
exaly   +2 more sources

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