Optimal Demand Response: Problem Formulation and Deterministic Case

2011 ◽  
pp. 63-85 ◽  
Author(s):  
Lijun Chen ◽  
Na Li ◽  
Libin Jiang ◽  
Steven H. Low
Keyword(s):  
Demand Response ◽  
Problem Formulation ◽  
Deterministic Case

Load Controllability Evaluation Modeling for Demand Response Potential Estimation

2017 ◽  
Vol 137 (5) ◽  
pp. 372-380 ◽  
Author(s):  
Yutaka Iino ◽  
Tsutomu Fujikawa ◽  
Saori Kaneko ◽  
Gaku Shimoda ◽  
Kazuto Kataoka ◽  
...  
Keyword(s):  
Demand Response

An Enhancement of Feature Selection Algorithm for EDM: A Review

2018 ◽  
Vol 8 (5) ◽  
pp. 29
Author(s):  
Manpreet Kaur ◽  
Chamkaur Singh
Keyword(s):  
Feature Selection ◽  
Educational Data Mining ◽  
Problem Formulation ◽  
Research Area ◽  
Education Quality ◽  
Educational Institutions ◽  
Selection Algorithm ◽  
Positive Role ◽  
Data Set ◽  
Selection Algorithms

Educational Data Mining (EDM) is an emerging research area help the educational institutions to improve the performance of their students. Feature Selection (FS) algorithms remove irrelevant data from the educational dataset and hence increases the performance of classifiers used in EDM techniques. This paper present an analysis of the performance of feature selection algorithms on student data set. .In this papers the different problems that are defined in problem formulation. All these problems are resolved in future. Furthermore the paper is an attempt of playing a positive role in the improvement of education quality, as well as guides new researchers in making academic intervention.

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