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            <name>Title</name>
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                <text>Book Chapter</text>
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    <name>Book Chapter</name>
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          <name>Title</name>
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              <text>Artificial Ecosystem-Based Optimization for Optimal Location and Sizing of Solar Photovoltaic Distribution Generation in Agriculture Feeders</text>
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          <name>Subject</name>
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              <text>Artificial ecosystem-based optimization; Composite load modeling; Distribution generation; Optimization; Radial distribution system; Solar photovoltaic system</text>
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              <text>In this paper, an efficient nature-inspired meta-heuristic algorithm called artificial ecosystem-based optimization (AEO) is proposed for solving optimal locations and sizes of solar photovoltaic (SPV) systems problem in radial distribution system (RDS) towards minimization of grid dependency and greenhouse gas (GHG) emission. Considering loss minimization as main objective function, the location and size of solar photovoltaic systems (SPV) are optimized using AEO algorithm. The results on Indian practical 22-bus agriculture feeder and 28-bus rural feeders are highlighted the need of optimally distributed SPV systems for maintaining minimal grid dependency and reduced GHG emission from conventional energy (CE) sources. Moreover, the results of AEO have been compared with different heuristic approaches and highlighted its superiority in terms of convergence characteristics and redundancy features in solving the complex, nonlinear, multi-variable optimization problems in real time.  2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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          <name>Creator</name>
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              <text>Kamal Kumar U.; Janamala V.</text>
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              <text>Lecture Notes on Data Engineering and Communications Technologies, Vol-114, pp. 743-757.</text>
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              <text>Springer Science and Business Media Deutschland GmbH</text>
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              <text>2022-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-981-16-9416-5_55" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-16-9416-5_55&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133704506&amp;amp;doi=10.1007%2F978-981-16-9416-5_55&amp;amp;partnerID=40&amp;amp;md5=11264e5348c09eddf52326fcadc192c4" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133704506&amp;amp;doi=10.1007%2f978-981-16-9416-5_55&amp;amp;partnerID=40&amp;amp;md5=11264e5348c09eddf52326fcadc192c4&lt;/a&gt;</text>
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              <text>Restricted Access</text>
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              <text>ISSN: 23674512</text>
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              <text>Online</text>
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              <text>Kamal Kumar U., Christ (Deemed To Be University), Karnataka, Bangalore, 560074, India, Sree Vidyanikethan Engineering College, Andhra Pradesh, Tirupati, 517102, India; Janamala V., Department of Electrical and Electronics Engineering, Faculty of Engineering, Christ (Deemed To Be University), Karnataka, Bangalore, 560074, India</text>
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