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Record Nr. |
UNINA9911015623303321 |
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Autore |
Babak Vitalii |
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Titolo |
Systems, Decision and Control in Energy VII : Volume II: Power Engineering and Environmental Safety / / edited by Vitalii Babak, Artur Zaporozhets |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (1028 pages) |
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Collana |
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Studies in Systems, Decision and Control, , 2198-4190 ; ; 595 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Electric power production |
Electric power distribution |
Engineering mathematics |
Engineering - Data processing |
Electrical Power Engineering |
Energy Grids and Networks |
Mathematical and Computational Engineering Applications |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Electric Power Engineering -- Second-Life EV Batteries Application in Energy Storage Systems for Sustainable and Resilient Power Sector -- Methodology for Assessment the Power Quality Characteristics of the Supply Voltage of General Purpose Power Grid -- Multi-Frequency Transistor Converter for Enhanced Impedance Matching in Induction Heating Equipment -- Protection of Transistor Converters Against Effecting of High-Voltage Short-Term Voltage Disturbances in a Power Supply Network -- Concept of Energy Hubs as a Base for Decentralization of the Power Grid -- Moisture Discharge Voltage of Insulators. Analysis of Calculation Methods and Creation of an Automated Calculation Tool -- Analysis of Electric Circuits of Multi-Pole Resonant Converter by Superposition Method -- Impulse Start Detection Algorithm to Automate Magnetostrictive Sensor Data Analysis for Quality Control Devices. |
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Sommario/riassunto |
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This book explores the intricate interplay between burgeoning energy demands and the imperatives of ecological sustainability. The first |
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section, Electric Power Engineering, explores critical innovations in the generation, transmission, and distribution of electric power. As global energy demands rise, the development of efficient and reliable electric power systems becomes essential. This section includes studies on optimizing grid performance, enhancing resilience, and integrating smart grid technologies. Advances in grid automation, energy storage, and demand response are examined, reflecting the shift toward adaptive, efficient, and secure power systems. The second section, Heat Power Engineering, addresses innovations in the generation and distribution of thermal energy. Heat power plays a vital role in industrial processes, residential heating, and energy-intensive applications, particularly in regions with cold climates. Researchers in this section present work on the optimization of heat transfer systems, combined heat and power (CHP) technologies, and efficient thermal energy storage solutions. The third section, Renewable Power Engineering, focuses on the development and integration of sustainable energy sources. Renewable energy technologies, such as wind, solar, hydro, and biomass, have become critical in reducing carbon emissions and achieving energy independence. The contributions in this section highlight advances in renewable energy production, storage, and integration with existing power systems. The final section, Environmental Safety, encompasses research on mitigating the environmental impact of energy production and consumption. With energy systems being one of the primary sources of emissions and pollution, environmental safety has become a central concern in energy research. This section presents studies on emission reduction technologies, pollution control strategies, and sustainable waste management practices within the energy sector. It includes research on air and water quality and sustainable resource utilization, highlighting how environmental safety measures can be incorporated into all stages of energy production and distribution. |
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2. |
Record Nr. |
UNINA9910300744203321 |
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Autore |
Mailund Thomas |
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Titolo |
Domain-Specific Languages in R : Advanced Statistical Programming / / by Thomas Mailund |
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Pubbl/distr/stampa |
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Berkeley, CA : , : Apress : , : Imprint : Apress, , 2018 |
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ISBN |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (257 pages) |
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Disciplina |
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Soggetti |
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Programming languages (Electronic computers) |
Artificial intelligence |
Computer programming |
Mathematical statistics |
Big data |
R (Computer program language) |
Programming Languages, Compilers, Interpreters |
Artificial Intelligence |
Programming Techniques |
Probability and Statistics in Computer Science |
Big Data |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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1. Introduction -- 2. Matrix expressions -- 3. Components of a programming language -- 4. Functions, classes and operators -- 5. Parsing and manipulating expressions -- 6. Lambda expressions -- 7. Environments and Expressions -- 8. Tidy evaluation -- 9. List comprehension -- 10. Continuous-Time Markov chains -- 11. Pattern matching -- 12. Dynamic programming -- 13. Conclusion. |
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Sommario/riassunto |
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Gain an accelerated introduction to domain-specific languages in R, including coverage of regular expressions. This compact, in-depth book shows you how DSLs are programming languages specialized for a particular purpose, as opposed to general purpose programming languages. Along the way, you’ll learn to specify tasks you want to do |
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in a precise way and achieve programming goals within a domain-specific context. Domain-Specific Languages in R includes examples of DSLs including large data sets or matrix multiplication; pattern matching DSLs for application in computer vision; and DSLs for continuous time Markov chains and their applications in data science. After reading and using this book, you’ll understand how to write DSLs in R and have skills you can extrapolate to other programming languages. You will: Program with domain-specific languages using R Discover the components of DSLs Carry out large matrix expressions and multiplications Implement metaprogramming with DSLs Parse and manipulate expressions . |
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