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UNINA9910557365903321 |
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Autore |
Weibel Deana L |
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Titolo |
The Mutual Influence of Religion and Science in the Human Understanding and Exploration of Outer Space |
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Pubbl/distr/stampa |
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
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Descrizione fisica |
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1 electronic resource (166 p.) |
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Soggetti |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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This collection examines the overlap between religious and scientific approaches to understanding and exploring outer space, a topic that merits continued academic study. It is the hope of the editors that these works will bring new insights and suggest new directions for investigation in this burgeoning field. Too often, religion and science are seen as diametrically opposed areas of human endeavor when, in reality, many scientists are influenced by religious ideas and many religious communities are inspired by scientific ideas. Religious activity has long been an aspect of humanity and will likely continue to accompany humans, even if or when we begin to settle outer space. We anticipate that this collection will be of use to future researchers studying the intersection of religious and scientific concepts of outer space. We would like to give our thanks to the authors whose works are included here and to note that circumstances during the very challenging year of 2020 have made it difficult for everyone who expressed interest in participating in this project. We also would like to thank our son, Luke Swanson, who was so very patient while his parents’ attention was focused on “the heavens”. |
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2. |
Record Nr. |
UNINA9910674025103321 |
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Autore |
Ogliari Emanuele |
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Titolo |
Computational Intelligence in Photovoltaic Systems / Emanuele Ogliari, Sonia Leva |
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Pubbl/distr/stampa |
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Basel, Switzerland : , : MDPI, , 2019 |
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ISBN |
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Descrizione fisica |
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1 electronic resource (180 p.) |
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Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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Photovoltaics, among the different renewable energy sources (RES), has become more popular. In recent years, however, many research topics have arisen as a result of the problems that are constantly faced in smart-grid and microgrid operations, such as forecasting of the output of power plant production, storage sizing, modeling, and control optimization of photovoltaic systems. Computational intelligence algorithms (evolutionary optimization, neural networks, fuzzy logic, etc.) have become more and more popular as alternative approaches to conventional techniques for solving problems such as modeling, identification, optimization, availability prediction, forecasting, sizing, and control of stand-alone, grid-connected, and hybrid photovoltaic systems. This Special Issue will investigate the most recent developments and research on solar power systems. This Special Issue "Computational Intelligence in Photovoltaic Systems" is highly recommended for readers with an interest in the various aspects of solar power systems, and includes 10 original research papers covering relevant progress in the following (non-exhaustive) fields: Forecasting techniques (deterministic, stochastic, etc.); DC/AC converter control and maximum power point tracking techniques; Sizing and optimization of photovoltaic system components; Photovoltaics modeling and parameter estimation; Maintenance and reliability |
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modeling; Decision processes for grid operators. |
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