Probabilistic load curtailment estimation using posterior probability model and twin support vector machine
نویسندگان
چکیده
منابع مشابه
Monthly rainfall Forecasting using genetic programming and support vector machine
Rainfall and runoff estimation play a fundamental and effective role in the management and proper operation of the watershed, dams and reservoirs management, minimizing the damage caused by floods and droughts, and water resources management. The optimal performance of intelligent models has increased their use to predict various hydrological phenomena. Therefore, in this study, two intelligent...
متن کاملA Neural Network Model Based on Support Vector Machine for Conceptual Cost Estimation in Construction Projects
Estimation of the conceptual costs in construction projects can be regarded as an important issue in feasibility studies. This estimation has a major impact on the success of construction projects. Indeed, this estimation supports the required information that can be employed in cost management and budgeting of these projects. The purpose of this paper is to introduce an intelligent model to im...
متن کاملTwin support vector machine with Universum data
The Universum, which is defined as the sample not belonging to either class of the classification problem of interest, has been proved to be helpful in supervised learning. In this work, we designed a new Twin Support Vector Machine with Universum (called U-TSVM), which can utilize Universum data to improve the classification performance of TSVM. Unlike U-SVM, in U-TSVM, Universum data are loca...
متن کاملWeighted Twin Support Vector Machine with Universum
Universum is a new concept proposed recently, which is defined to be the sample that does not belong to any classes concerned. Support Vector Machine with Universum (U-SVM) is a new algorithm, which can exploit Universum samples to improve the classification performance of SVM. In fact, samples in the different positions have different effects on the bound function. Then, we propose a weighted ...
متن کاملMutagenic probability estimation of chemical compounds by a novel molecular electrophilicity vector and support vector machine
MOTIVATION Mutagenicity is among the toxicological end points that pose the highest concern. The accelerated pace of drug discovery has heightened the need for efficient prediction methods. Currently, most available tools fall short of the desired degree of accuracy, and can only provide a binary classification. It is of significance to develop a discriminative and informative model for the mut...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Modern Power Systems and Clean Energy
سال: 2019
ISSN: 2196-5625,2196-5420
DOI: 10.1007/s40565-019-0514-9