Vikas Khare

Cognitive Science, Computational Intelligence, and Data Analytics: Methods and Applications with Python introduces readers to the foundational concepts of data analysis, cognitive science, and computational intelligence, including AI and Machine Learning. The book's focus is on fundamental ideas, procedures, and computational intelligence tools that can be applied to a wide range of data analysis approaches, with applications that include mathematical programming, evolutionary simulation, machine learning, and logic-based models. It offers readers the fundamental and practical aspects of cognitive science and data analysis, exploring data analytics in terms of description, evolution, and applicability in real-life problems. The authors cover the history and evolution of cognitive analytics, methodological concerns in philosophy, syntax and semantics, understanding of generative linguistics, theory of memory and processing theory, structured and unstructured data, qualitative and quantitative data, measurement of variables, nominal, ordinals, intervals, and ratio scale data. The content in this book is tailored to the reader's needs in terms of both type and fundamentals, including coverage of multivariate analysis, CRISP methodology and SEMMA methodology. Each chapter provides practical, hands-on learning with real-world applications, including case studies and Python programs related to the key concepts being presented.

Comprehensive examination of green hydrogen's transformative potential in reducing carbon emissions across various sectors Hydrogen Technologies in Decarbonizing Industries and Energy Systems is a thorough discussion of green hydrogen's transformative potential in reducing carbon emissions across various sectors, covering technological, managerial, and policy aspects. Practical insights are provided through detailed case studies and real-world examples to ensure concepts are relatable and practicable. The book begins by introducing the fundamentals of green hydrogen, tracing its historical development, and explaining its critical role in global decarbonization efforts. It then delves into the latest technological innovations, such as advancements in electrolysis, storage, transportation, and integration with renewable energy sources. Discussion on industrial applications highlights how green hydrogen can decarbonize heavy industries like steel, cement, and chemicals, and explains its use in transportation and power generation. From a management perspective, the book explores strategic planning for adopting green hydrogen, operational changes, supply chain management, workforce development, and risk management. The book also includes information on: The current policy and regulatory landscape, identifying challenges and offering recommendations to promote green hydrogen adoption Cost-benefit aspects of green hydrogen projects, investment trends, and the global economic impact of this technology Environmental and social impacts of green hydrogen, including job creation and community effects Energy conservation and demand response, covering smart thermostats and peak load management Thermochemical water splitting, covering splitting cycles, reaction materials and catalysts, process engineering and reactor design and energy input and efficiency Hydrogen Technologies in Decarbonizing Industries and Energy Systems empowers industry professionals, policymakers, and researchers and academics to contribute to the decarbonization of industries and energy systems, fostering a sustainable future for all.

In the rapidly evolving landscape of the modern world, understanding the fundamentals of these interconnected domains is not just a choice but a necessity for those aspiring to lead and thrive. Decision Making with Exponential Technologies for Leaders is a fascinating exploration of the dynamic and transformative journey through the intersecting territories of exponential technologies, principles of management, the evolving role of leaders, strategic decision-making, and the compelling concept of disruptive leadership. Decision Making with Exponential Technologies for Leaders serves as a comprehensive guide for reader’s eager to investigate into the intricate web of Basics of Exponential Technologies, Principles of Management, Evolving Role of Leaders, Strategic Decision Making, and the paradigm-shifting philosophy of Disruptive Leadership. It is designed to equip both aspiring and seasoned leaders with the knowledge and insights needed to navigate the complexities of the contemporary business environment.

Decision Science and Operations Management of Solar Energy System looks beyond developing a solar power plant by also considering the requirements necessary to manage effective power plant operation for the long-term. This book includes data of solar power plants and quantitative techniques of statistical analysis used to inform decision-making for solar energy systems, thus enabling readers to predict future individual solar power system forecasts using different technical and financial parameters. Including data visualization, descriptive statistics, sampling techniques, plant layout, manufacturing economics, inventory management and total quality management of solar energy system, this book covers new insights as well as established fundamentals. The detailed information in this reference bridges the gap between theory and practice in the operation of solar energy systems for researchers, professionals and students working in the area of solar and renewable energy.

Design and Optimization of Biogas Energy Systems presents an overview on planning, implementing, assessing and optimizing biogas systems, from fuel conversion to power generation. The book introduces the fundamental elements of bioenergy systems, highlighting the specificities of biogas systems. It discusses the current state of their adoption at a global level and the challenges faced by designers and operators. Methods for sizing, simulating and modeling are discussed, including prefeasibility analysis, available production processes, integration into hybrid energy systems, and the application of Big Data analysis and game theory concepts. All chapters include real-life examples and exercises to illustrate the topics being covered. The book goes beyond theory to offer practical knowledge of methods to reach solutions to key challenges in the field. This is a valuable resource for researchers, practitioners and graduate students interested in developing smart, reliable and sustainable biogas technologies.

Ocean Energy Modeling and Simulation with Big Data: Computational Intelligence for System Optimization and Grid Integration offers the fundamental and practical aspects of big data solutions applied to ocean and offshore energy systems. The book explores techniques for assessment of tidal, wave and offshore wind energy systems. It presents the use of data mining software to simulate systems and Hadoop technology to evaluate control systems. The use of Map Reduce algorithms in systems optimization is examined, along with the application of NoSQL in systems management. Actual data collection through web-based applications and social networks is discussed, along with practical applications of recommendations.

Tidal Energy Systems: Design, Optimization and Control provides a comprehensive overview of concepts, technologies, management and the control of tidal energy systems and tidal power plants. It presents the fundamentals of tidal energy, including the structure of tidal currents and turbulence. Technology, principles, components, operation, and a performance assessment of each component are also covered. Other sections consider pre-feasibility analysis methods, plant operation, maintenance and power generation, reliability assessment in terms of failure distribution, constant failure rate and the time dependent failure model. Finally, the most recent research advances and future trends are reviewed. In addition, applicable real-life examples and a case study of India’s tidal energy scenario are included. The book provides ocean energy researchers, practitioners and graduate students with all the information needed to design, deploy, manage and operate tidal energy systems. Senior undergraduate students will also find this to be a useful resource on the fundamentals of tidal energy systems and their components.