Drawing a Line in the Sand: Commitment Problem in Ending Software Support

MIS Quarterly ◽  
2017 ◽  
Vol 41 (4) ◽  
pp. 1227-1247 ◽  
Author(s):  
Abhijeet Ghoshal ◽  
Keyword(s):  
Software Support ◽  
Commitment Problem

Is Distance Teaching-Learning-Evaluation Triad a Form of Digital Art?

2020 ◽  
Vol 1 (2) ◽  
pp. 3-19
Author(s):  
Tatiana Antipova ◽  
Ioana Riurean ◽  
Simona Riurean
Keyword(s):  
Point Of View ◽  
Educational Activity ◽  
Distance Teaching ◽  
Software Support ◽  
Alternative Teaching ◽  
Evaluation Procedures ◽  
Learning Evaluation ◽  
Teachers And Students ◽  
Computer Knowledge ◽  
Teaching Learning

The pandemic situation at the beginning of March 2020 forced teachers to develop alternative teaching methods, and most important to find the best ways to keep teaching for every student no matter the situation, as for example, the lack of computer knowledge or hardware/software support. Teachers worldwide struggled to support, encourage, find the best ways not only to help students to keep learning but support them emotionally. At the end of the academic year, teachers made efforts to develop fair, appropriate evaluation procedures adapted to distance education. This paper summarizes the Distance Teaching-Learning-Evaluation (DTLE) evolution in Russia and Romania and some methods developed from March to December 2020 to support the educational activity. Some benefits, challenges and difficulties are identified during the same period of time in different DTLE scenarios, from the point of view of teachers and students, as well. Examples of new adapted methods, dedicated to the DTLE scenarios are al-so addressed in this work.

Unit Commitment Problem Solution for Renewable Integrated Generation

2017 ◽  
Vol 10 (4) ◽  
pp. 13
Author(s):  
TIWARI SHUBHAM ◽  
DWIVEDI BHARTI ◽  
DAVE M.P. ◽  
◽  
◽  
...  
Keyword(s):  
Unit Commitment ◽  
Problem Solution ◽  
Unit Commitment Problem ◽  
Commitment Problem

Application of Hopfield neural network in unit commitment problem

2009 ◽  
Vol 29 (4) ◽  
pp. 1028-1031
Author(s):  
Wei-xin GAO ◽  
Xiang-yang MU ◽  
Nan TANG ◽  
Hong-liang YAN
Keyword(s):  
Neural Network ◽  
Unit Commitment ◽  
Hopfield Neural Network ◽  
Unit Commitment Problem ◽  
Commitment Problem

Software Support for Hetergeneous Machines

1986 ◽  
Author(s):  
Mario R. Barbacci
Keyword(s):  
Software Support

scholarly journals A meliorated Harris Hawks optimizer for combinatorial unit commitment problem with photovoltaic applications

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Ayani Nandi ◽  
Vikram Kumar Kamboj
Keyword(s):  
Power Generation ◽  
Power System ◽  
Electric Power ◽  
Unit Commitment ◽  
Renewable Energy Sources ◽  
Electric Power System ◽  
Unit Commitment Problem ◽  
Spinning Reserve ◽  
Commitment Problem ◽  
Sine Cosine Algorithm

AbstractConventional unit commitment problem (UCP) consists of thermal generating units and its participation schedule, which is a stimulating and significant responsibility of assigning produced electricity among the committed generating units matter to frequent limitations over a scheduled period view to achieve the least price of power generation. However, modern power system consists of various integrated power generating units including nuclear, thermal, hydro, solar and wind. The scheduling of these generating units in optimal condition is a tedious task and involves lot of uncertainty constraints due to time carrying weather conditions. This difficulties come to be too difficult by growing the scope of electrical power sector day by day, so that UCP has connection with problem in the field of optimization, it has both continuous and binary variables which is the furthermost exciting problem that needs to be solved. In the proposed research, a newly created optimizer, i.e., Harris Hawks optimizer (HHO), has been hybridized with sine–cosine algorithm (SCA) using memetic algorithm approach and named as meliorated Harris Hawks optimizer and it is applied to solve the photovoltaic constrained UCP of electric power system. In this research paper, sine–cosine Algorithm is used for provision of power generation (generating units which contribute in electric power generation for upload) and economic load dispatch (ELD) is completed by Harris Hawks optimizer. The feasibility and efficacy of operation of the hybrid algorithm are verified for small, medium power systems and large system considering renewable energy sources in summer and winter, and the percentage of cost saving for power generation is found. The results for 4 generating units, 5 generating units, 6 generating units, 7 generating units, 10 generating units, 19 generating units, 20 generating units, 40 generating units and 60 generating units are evaluated. The 10 generating units are evaluated with 5% and 10% spinning reserve. The efficacy of the offered optimizer has been verified for several standard benchmark problem including unit commitment problem, and it has been observed that the suggested optimizer is too effective to solve continuous, discrete and nonlinear optimization problems.

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