Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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Nowadays, in order to achieve environmental goals, renewable energy sources especially wind, has been seemed useful while wind generation does not directly produce air pollutants emission. So it seems necessary to consider air pollutants emission level in windthermal scheduling problems. This paper proposes two methodologies for wind – thermal scheduling in a power system with high penetration of wind power subject to consider air pollutants emission reduction. Also a stochastic programming market-clearing model has been applied for solving unit commitment problem to overcome stochastic nature of power. In this stochastic security model, wind generation uncertainty is modeled by scenario tree in scheduling time horizon. The usefulness of the proposed approach was demonstrated through an IEEE 30- bus test system over 6 hours.
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Dr. MOHADESE BAGHERI. 1970. \u201cUNIT COMMITMENT SCHEDULING WITH WIND POWER GENERATION UNCERTAINTY AND EMISSION CONSIDERATION\u201d. Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 11 (GJRE Volume 11 Issue J4): .
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Total Score: 88
Country: Iran
Subject: Global Journal of Research in Engineering - J: General Engineering
Authors: Dr. MOHADESE BAGHERI, ABDOLREZA SHEIKHOLESLAMI, MAJID SHAHABI (PhD/Dr. count: 1)
View Count (all-time): 192
Total Views (Real + Logic): 21319
Total Downloads (simulated): 10809
Publish Date: 1970 01, Thu
Monthly Totals (Real + Logic):
Neural Networks and Rules-based Systems used to Find Rational and
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