Mustapha Hatti - Böcker

This book features cutting-edge research presented at the second international conference on Artificial Intelligence in Renewable Energetic Systems, IC-AIRES2018, held on 24–26 November 2018, at the High School of Commerce, ESC-Koléa in Tipaza, Algeria. Today, the fundamental challenge of integrating renewable energies into the design of smart cities is more relevant than ever. While based on the advent of big data and the use of information and communication technologies, smart cities must now respond to cross-cutting issues involving urban development, energy and environmental constraints; further, these cities must also explore how they can integrate more sustainable energies. Sustainable energies are a major determinant of smart cities’ longevity. From an environmental and technological standpoint, these energies offer an optimal power supply to the electric network while creating significantly less pollution. This requires flexibility, i.e., the availability of supply and demand. The end goal of any smart city is to improve the quality of life for all citizens (both in the city and in the countryside) in a way that is sustainable and respectful of the environment. This book encourages the reader to engage in the preservation of our environment, every moment, every day, so as to help build a clean and healthy future, and to think of the future generations who will one day inherit our planet. Further, it equips those whose work involves energy systems and those engaged in modelling artificial intelligence to combine their expertise for the benefit of the scientific community and humanity as a whole.

International Conference on Artificial Intelligence in Renewable Energetic Systems, IC-AIRES2019, 26-28 November 2019, Taghit-Bechar, Algeria.The challenges of the energy transition in the medium term lead to numerous technological breakthroughs in the areas of production, optimal distribution and the rational use of energy and renewable energy (energy efficiency and optimization of consumption, massive electrification, monitoring and control energy systems, cogeneration and energy recovery processes, new and renewable energies, etc.). The fall in the cost of renewable energies and the desire for a local control of energy production are today calling for a profound change in the electricity system. Local authorities are at the center of energy developments by taking into account the local nature of certain energy systems, heat networks, geothermal energy, waste heat recovery, and electricity generation from household waste. On the other side, digital sciences are atthe heart of connected objects and intelligent products that combine information processing and communication capabilities with their environment. Digital technology is at the center of new systems engineering approaches (3D modeling, virtualization, simulation, digital prototyping, etc.) for the design and development of intelligent systems. The book deals with various topics ranging from the design, development and maintenance of energy production systems, transport, distribution or storage of energy, optimization of energy efficiency, especially in the use of energy. innovation in the fields of energy production from renewable energies, management of energy networks: electricity, fluids, gas, district heating, energy storage modes: battery, super-capacitors , overseeing energy supply through supervision, control and diagnosis, risk management, as well as the design and management of smart grids: microgrid, smartgrid. This imposes the model of energy empowerment in the advent of smart cities. Empower the world’s most vulnerable energy-poor citizens and establish growing and vibrant socioeconomic communities, by academics, students in engineering and data computing from around the world who have chosen an academic path leading to an electric power and energy engineering and artificial intelligence to advancing technology for the advantage of humanity.

This proceedings book is of interest to all researchers and heads of technology laboratories; incubator managers; local and parliamentary elected officials; associations and civil society; social entrepreneurs; foundations interested in social life in Mediterranean region and prospective creative startup students.The purpose of book on social and social-tech innovation synergy and its practical implication on social entrepreneurship is to address the following question:- How can the experiences of the countries be combined of the north and south shores of the Mediterranean and reflect on the different opportunities offered by the new technology to cope with the various social scourges that the region has experienced in recent years? the problem of immigration.It is also about finding advanced technology applications that will solve, on a large scale, the major social challenges of our time. - How to exploit the innumerable synergies between digital and social entrepreneurship?- Why social entrepreneurs are struggling to seize digital tools to develop their socially innovative projects?- What about their ability to integrate digital into the realization and development of these projects?- How can we combine the experiences of the countries of the north and south shores of the Mediterranean and reflect on the different opportunities offered by the new technology to cope with the various social scourges that the region has experienced in recent years? the problem of immigration.

This proceedings book emphasizes adopting artificial intelligence-based and sustainable energy efficiency integrated with clear objectives, to involve researchers, students, and specialists in their development and implementation adequately in achieving objectives.The integration of artificial intelligence into renewable energetic systems would allow the rapid development of a knowledge-based economy suitable to the energy transition, while fully integrating the renewables into the global economy. This is how artificial intelligence has hand in by conceptualizing this transition and above all by saving time.The knowledge economy is valuated within the smart cities, which are fast becoming the favorite places where the energy transition will take place efficiently and intelligently by implementing integrated approaches to energy saving and energy supply and integrated urban approaches that go beyond individual interventions in buildings or transport modes using information and communication technologies.

This book emphasizes the role of micro-grid systems and connected networks for the strategic storage of energy through the use of information and communication techniques, big data, the cloud, and meta-heuristics to support the greed for artificial intelligence techniques in data and the implementation of global strategies to meet the challenges of the city in the broad sense. The intelligent management of renewable energy in the context of the energy transition requires the use of techniques and tools based on artificial intelligence (AI) to overcome the challenges of the intermittence of resources and the cost of energy. The advent of the smart city makes an increased call for the integration of artificial intelligence and heuristics to meet the challenge of the increasing migration of populations to the city, in order to ensure food, energy, and environmental security of the citizen of the city and his well-being. This book is intended for policymakers, academics, practitioners, andstudents. Several real cases are exposed throughout the book to illustrate the concepts and methods of the networks and systems presented. This book proposes the development of new technological innovations—mainly ICT—the concept of “Smart City” appears as a means of achieving more efficient and sustainable cities. The overall goal of the book is to develop a comprehensive framework to help public and private stakeholders make informed decisions on smart city investment strategies and develop skills for assessment and prioritization, including resolution of difficulties with deployment and reproducibility.

This book emphasizes the role of micro-grid systems and connected networks for the strategic storage of energy through the use of information and communication techniques, big data, the cloud, and meta-heuristics to support the greed for artificial intelligence techniques in data and the implementation of global strategies to meet the challenges of the city in the broad sense. The intelligent management of renewable energy in the context of the energy transition requires the use of techniques and tools based on artificial intelligence (AI) to overcome the challenges of the intermittence of resources and the cost of energy. The advent of the smart city makes an increased call for the integration of artificial intelligence and heuristics to meet the challenge of the increasing migration of populations to the city, in order to ensure food, energy, and environmental security of the citizen of the city and his well-being. This book is intended for policymakers, academics, practitioners, andstudents. Several real cases are exposed throughout the book to illustrate the concepts and methods of the networks and systems presented. This book proposes the development of new technological innovations—mainly ICT—the concept of “Smart City” appears as a means of achieving more efficient and sustainable cities. The overall goal of the book is to develop a comprehensive framework to help public and private stakeholders make informed decisions on smart city investment strategies and develop skills for assessment and prioritization, including resolution of difficulties with deployment and reproducibility.

In this book, one hundred selected articles, in which the technology and science elite share, contribute to technology development, collaborate and evolve the latest cutting-edge technologies, open ecosystem resources, new innovative computing solutions, hands-on labs and tutorials, networking and community building, to ensure better integration of artificial intelligence into renewable energy systems. Innovation in computing continues at a growing pace. The key to success in this area is not only hardware, but also the ability to leverage rapid advances in artificial intelligence (including machine learning and deep learning), data analytics, data streaming, and cloud computing, which go hand in hand with intensive research activity on the underlying computational methods. The chapters in this book are organized into thematic sections on: advanced computing techniques; artificial intelligence; smart and sustainable cities; renewable energy systems; materials in renewable energy; smart energy efficiency; smart cities applications: recent developments and new trends; online, supervision of renewable energy platforms; predictive control in renewable systems; smart embedded systems for photovoltaic applications.

This book embarks on a transformative exploration of sustainable urban development, integrating Internet of Things (IoT) technologies in energy efficiency assessments of renewable energy systems and microgrids within smart cities.

This book embarks on a transformative exploration of sustainable urban development, integrating Internet of Things (IoT) technologies in energy efficiency assessments of renewable energy systems and microgrids within smart cities.

This essential book bridges the gap between cutting-edge artificial intelligence and the dynamic world of renewable energy systems. Embark on a journey to the forefront of sustainable energy innovation with this groundbreaking collection of research papers and expert insights.Designed for curious minds and industry leaders alike, this comprehensive resource offers:- A deep dive into the latest advancements in smart computing for sustainable energy.- Exploration of AI-driven techniques revolutionizing energy efficiency and management.- Real-world applications showcasing the transformative power of intelligent systems in renewables.- Insights into futuristic energy infrastructures powered by artificial intelligence.- A perfect blend of theoretical foundations and practical implementations.To a seasoned researcher pushing the boundaries of knowledge, a graduate student aspiring to make a mark, or an industry professional staying ahead of the curve, this book is a gateway to the future of energy.Discover how machine learning is reshaping solar forecasting, uncover the potential of autonomous systems in energy storage, and explore the role of AI in crafting smarter, more sustainable cities. From predictive maintenance that ensures uninterrupted power to intelligent control systems optimizing energy generation, this book covers it all.Don't just witness the renewable energy revolution—be part of it. This book equips readers with the knowledge and inspiration to drive innovation in this critical field. It is more than a collection of papers; it is a roadmap to a sustainable future where smart computing and renewable energy converge.Prepare to challenge your assumptions, expand your expertise, and contribute to a greener tomorrow. Order your copy today and position yourself at the vanguard of the smart energy movement!

This comprehensive volume delivers cutting-edge solutions for integrating artificial intelligence into renewable energy systems, addressing critical challenges in sustainable energy transition. Readers will discover innovative approaches to optimizing photovoltaic systems, wind energy conversion, smart grids, and hybrid energy storage through advanced machine learning algorithms and intelligent control strategies.The book presents practical applications spanning MPPT optimization techniques, predictive maintenance using SCADA data, IoT-based monitoring systems, and AI-driven fault detection in power electronics. Contributors explore emerging topics including green hydrogen production, electric vehicle control systems, energy forecasting with deep learning, and autonomous microgrid management. Special emphasis is placed on real-world implementations tested in diverse environmental conditions.Featuring contributions from leading international researchers and practitioners, this work bridges the gap between academic research and industrial application. Engineers, researchers, and graduate students working in renewable energy, power systems, and artificial intelligence will find invaluable insights for developing efficient, resilient, and sustainable energy solutions that meet urgent climate and energy security challenges.