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Model Selection for Exponential Power Mixture Regression Models
EntropyFinite mixture of linear regression (FMLR) models are among the most exemplary statistical tools to deal with various heterogeneous data. In this paper, we introduce a new procedure to simultaneously determine the number of components and perform ...
Yunlu Jiang +3 more
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Likelihood-based inference for the power regression model [PDF]
SORT. Statistics and Operations Research Transactions, 2015 In this paper we investigate an extension of the power-normal model, called the alpha-power model and specialize it to linear and nonlinear regression models, with and without correlated errors.
Bolfarine, Heleno +2 more
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Power Load Probabilistic Prediction Based on Multi-Value Quantile Regression and Timing Fusion Ensemble Learning Model [PDF]
EntropyThe core component to ensure the refined and safe operation of distribution network scheduling is 10 kV bus load probabilistic prediction. However, existing probabilistic prediction methods suffer from insufficient dynamic feature extraction and ...
Yuhang Liu +4 more
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Influence of Socio-Economic Factors on Wages in Small and Medium-sized Enterprises [PDF]
Экономика региона, 2020 Small and medium-sized enterprises (SMEs) are not sufficiently developed in Russia, which is largely due to significant gap between the wages of SMEs employees and the wages of workers from other enterprises. Thus, it is essential to examine factors that
Yuliya Semenovna Pinkovetskaya
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Power Load Forecasting Model Based on Grey Neural Network Regression Combination [PDF]
E3S Web of Conferences, 2020 Due to the limitations of a single power load forecasting model, the power load forecasting cannot be performed well. In order to obtain a greater closeness to predict results with actual data, this paper presents the power load forecasting model based ...
Ma Guozhen +6 more
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The Log Exponential-Power Distribution: Properties, Estimations and Quantile Regression Model
Mathematics, 2021 Recently, bounded distributions have attracted attention. These distributions are frequently used in modeling rate and proportion data sets. In this study, a new alternative model is proposed for modeling bounded data sets.
Mustafa Ç. Korkmaz +3 more
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Energies, 2022 Assessment of the wind turbine output power (WTG OP) during the operation and maintenance is one of the key indicators of operation quality evaluation. It is often carried out in the form of the wind speed-power curve.
Pengfei Zhang +4 more
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Modelling of Input Parameters for Power Generation using Regression Models [PDF]
Nigerian Journal of Environmental Sciences and Technology, 2021 In this study, multiple linear regression models were employed in the correlation of gas supply and power generation using a gas Power Plant in Niger Delta, Nigeria as a Case study. From the analysis based on outlier detection, reliability analysis and test of homogeneity, it was observed that the independent variable data such as ambient temperature ...
U. Agbondinmwin, R.S. Ebhojiaye
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SVR Based Three Dimensional Regression Model of Power Load Characteristics [PDF]
Jisuanji gongcheng, 2017 According to the periodic characteristics of electric load,a Three Dimensional Regression Model studies are(TDRM) based on Support Vector Regression(SVM) is proposed.The power load characteristics studies are modeled as three dimensional regression ...
TANG Qiang,XIE Mingzhong,LUO Yuansheng
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Solar Power Prediction using Regression Models
Uluslararası Muhendislik Arastirma ve Gelistirme Dergisi, 2022 Solar power prediction is an important problem that has gained significant attention in recent years due to the increasing demand for renewable energy sources. In this paper, we present the results of using four different regression models for solar power prediction: linear regression, logistic regression, Lasso regression, and elastic regression.
Mustafa Yasin ERTEN, Hüseyin AYDİLEK
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