The AI Energy Equation

The AI Energy Equation PDF Author: Mike L
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
"The AI Energy Equation: Transforming Power Utilities with Artificial Intelligence" is a groundbreaking book that explores the transformative impact of artificial intelligence (AI) in the power utility industry. From renewable energy integration and grid optimization to customer engagement and policy development, this book delves into the cutting-edge applications of AI that are reshaping the energy landscape. With insights from industry experts and thought leaders, it navigates the challenges and opportunities presented by AI adoption, addressing crucial topics such as data governance, ethical considerations, and regulatory frameworks. Whether you are a power utility professional, policymaker, or technology enthusiast, this book provides a comprehensive overview of the innovative solutions and future possibilities that AI brings to the energy sector. Embark on a journey of discovery and unlock the full potential of AI in revolutionizing the power utility industry.

The AI Energy Equation

The AI Energy Equation PDF Author: Mike L
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
"The AI Energy Equation: Transforming Power Utilities with Artificial Intelligence" is a groundbreaking book that explores the transformative impact of artificial intelligence (AI) in the power utility industry. From renewable energy integration and grid optimization to customer engagement and policy development, this book delves into the cutting-edge applications of AI that are reshaping the energy landscape. With insights from industry experts and thought leaders, it navigates the challenges and opportunities presented by AI adoption, addressing crucial topics such as data governance, ethical considerations, and regulatory frameworks. Whether you are a power utility professional, policymaker, or technology enthusiast, this book provides a comprehensive overview of the innovative solutions and future possibilities that AI brings to the energy sector. Embark on a journey of discovery and unlock the full potential of AI in revolutionizing the power utility industry.

Introduction to AI Techniques for Renewable Energy System

Introduction to AI Techniques for Renewable Energy System PDF Author: Suman Lata Tripathi
Publisher: CRC Press
ISBN: 1000392457
Category : Technology & Engineering
Languages : en
Pages : 423

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Book Description
Introduction to AI techniques for Renewable Energy System Artificial Intelligence (AI) techniques play an essential role in modeling, analysis, and prediction of the performance and control of renewable energy. The algorithms used to model, control, or predict performances of the energy systems are complicated, involving differential equations, enormous computing power, and time requirements. Instead of complex rules and mathematical routines, AI techniques can learn critical information patterns within a multidimensional information domain. Design, control, and operation of renewable energy systems require a long-term series of meteorological data such as solar radiation, temperature, or wind data. Such long-term measurements are often non-existent for most of the interest locations or, wherever they are available, they suffer from several shortcomings, like inferior quality of data, and in-sufficient long series. The book focuses on AI techniques to overcome these problems. It summarizes commonly used AI methodologies in renewal energy, with a particular emphasis on neural networks, fuzzy logic, and genetic algorithms. It outlines selected AI applications for renewable energy. In particular, it discusses methods using the AI approach for prediction and modeling of solar radiation, seizing, performances, and controls of the solar photovoltaic (PV) systems. Features Focuses on a significant area of concern to develop a foundation for the implementation of renewable energy system with intelligent techniques Showcases how researchers working on renewable energy systems can correlate their work with intelligent and machine learning approaches Highlights international standards for intelligent renewable energy systems design, reliability, and maintenance Provides insights on solar cell, biofuels, wind, and other renewable energy systems design and characterization, including the equipment for smart energy systems This book, which includes real-life examples, is aimed at undergraduate and graduate students and academicians studying AI techniques used in renewal energy systems.

Artificial Intelligence in Energy and Renewable Energy Systems

Artificial Intelligence in Energy and Renewable Energy Systems PDF Author: Soteris Kalogirou
Publisher: Nova Publishers
ISBN: 9781600212611
Category : Computers
Languages : en
Pages : 488

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Book Description
This book presents state of the art applications of artificial intelligence in energy and renewable energy systems design and modelling. It covers such topics as solar energy, wind energy, biomass and hydrogen as well as building services systems, power generation systems, combustion processes and refrigeration. In all these areas applications of artificial intelligence methods such as artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above, called hybrid systems, are included. The book is intended for a wide audience ranging from the undergraduate level up to the research academic and industrial communities dealing with modelling and performance prediction of energy and renewable energy systems.

THE FUSION ENERGY EQUATIONS

THE FUSION ENERGY EQUATIONS PDF Author: Priyanca Ford
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 0

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Book Description
"The Fusion Energy Equation: Unlocking the Power of Stars for a Sustainable Future" embarks on a riveting quest towards the realization of fusion energy, setting an ambitious benchmark for achieving a forty-fold energy gain (Q40) and pioneering a cost-effective Levelized Cost of Electricity (LCOE) at $40 per MWh. Authored by Priyanca Ford, this narrative unveils the vast potential of fusion energy to revolutionize our world, from enhancing desalination techniques to introducing orbiting solar power stations, promising to transform our industrial, environmental, and societal frameworks.Ford expertly navigates the intricate world of fusion energy, blending mathematics, physics, and cutting-edge technologies like Artificial Intelligence (AI) and quantum computing. These advancements are depicted not just as tools, but as essential partners in the crucial challenge of securing a clean, sustainable energy future. The book demystifies complex concepts, making the science of fusion energy both accessible and profound, and outlines the transformative impact fusion could have on global economies and daily life."The Fusion Energy Equation" serves as an inspiring manifesto, calling on scientists, engineers, policymakers, and the public to unite in the pursuit of a fusion-powered future. It's an invitation to imagine a world where energy drives prosperity and harmony, rather than conflict. Ford's compelling blend of detailed science, innovative technology, and visionary foresight encourages readers to engage with and contribute to the next great leap in energy development. This book is more than just a read; it's a call to action, urging us to join the journey towards a future powered by the stars.

Artificial Intelligence for Smart and Sustainable Energy Systems and Applications

Artificial Intelligence for Smart and Sustainable Energy Systems and Applications PDF Author: Miltiadis D. Lytras
Publisher: MDPI
ISBN: 303928889X
Category : Technology & Engineering
Languages : en
Pages : 258

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Book Description
Energy has been a crucial element for human beings and sustainable development. The issues of global warming and non-green energy have yet to be resolved. This book is a collection of twelve articles that provide strong evidence for the success of artificial intelligence deployment in energy research, particularly research devoted to non-intrusive load monitoring, network, and grid, as well as other emerging topics. The presented artificial intelligence algorithms may provide insight into how to apply similar approaches, subject to fine-tuning and customization, to other unexplored energy research. The ultimate goal is to fully apply artificial intelligence to the energy sector. This book may serve as a guide for professionals, researchers, and data scientists—namely, how to share opinions and exchange ideas so as to facilitate a better fusion of energy, academic, and industry research, and improve in the quality of people's daily life activities.

AI Applications to Communications and Information Technologies

AI Applications to Communications and Information Technologies PDF Author: Daniel Minoli
Publisher: John Wiley & Sons
ISBN: 1394190018
Category : Technology & Engineering
Languages : en
Pages : 500

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Book Description
AI Applications to Communications and Information Technologies Apply the technology of the future to networking and communications. Artificial intelligence, which enables computers or computer-controlled systems to perform tasks which ordinarily require human-like intelligence and decision-making, has revolutionized computing and digital industries like few other developments in recent history. Tools like artificial neural networks, large language models, and deep learning have quickly become integral aspects of modern life. With research and development into AI technologies proceeding at lightning speeds, the potential applications of these new technologies are all but limitless. AI Applications to Communications and Information Technologies offers a cutting-edge introduction to AI applications in one particular set of disciplines. Beginning with an overview of foundational concepts in AI, it then moves through numerous possible extensions of this technology into networking and telecommunications. The result is an essential introduction for researchers and for technology undergrad/grad student alike. AI Applications to Communications and Information Technologies readers will also find: In-depth analysis of both current and evolving applications Detailed discussion of topics including generative AI, chatbots, automatic speech recognition, image classification and recognition, IoT, smart buildings, network management, network security, and more An authorial team with immense experience in both research and industry AI Applications to Communications and Information Technologies is ideal for researchers, industry observers, investors, and advanced students of network communications and related fields.

Artificial Intelligence for Renewable Energy Systems

Artificial Intelligence for Renewable Energy Systems PDF Author: S. Balamurugan
Publisher: John Wiley & Sons
ISBN: 1119761719
Category : Computers
Languages : en
Pages : 272

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Book Description
ARTIFICIAL INTELLIGENCE FOR RENEWABLE ENERGY SYSTEMS Renewable energy systems, including solar, wind, biodiesel, hybrid energy, and other relevant types, have numerous advantages compared to their conventional counterparts. This book presents the application of machine learning and deep learning techniques for renewable energy system modeling, forecasting, and optimization for efficient system design. Due to the importance of renewable energy in today’s world, this book was designed to enhance the reader’s knowledge based on current developments in the field. For instance, the extraction and selection of machine learning algorithms for renewable energy systems, forecasting of wind and solar radiation are featured in the book. Also highlighted are intelligent data, renewable energy informatics systems based on supervisory control and data acquisition (SCADA); and intelligent condition monitoring of solar and wind energy systems. Moreover, an AI-based system for real-time decision-making for renewable energy systems is presented; and also demonstrated is the prediction of energy consumption in green buildings using machine learning. The chapter authors also provide both experimental and real datasets with great potential in the renewable energy sector, which apply machine learning (ML) and deep learning (DL) algorithms that will be helpful for economic and environmental forecasting of the renewable energy business. Audience The primary target audience includes research scholars, industry engineers, and graduate students working in renewable energy, electrical engineering, machine learning, information & communication technology.

AI-Driven Zero Carbon Cyber-Energy System

AI-Driven Zero Carbon Cyber-Energy System PDF Author: Yushuai Li
Publisher: Frontiers Media SA
ISBN: 2832519636
Category : Science
Languages : en
Pages : 131

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Book Description


1337 Use Cases for ChatGPT & other Chatbots in the AI-Driven Era

1337 Use Cases for ChatGPT & other Chatbots in the AI-Driven Era PDF Author: Florin Badita
Publisher: Florin Badita
ISBN:
Category : Business & Economics
Languages : en
Pages : 801

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Book Description
"1337 Use Cases for ChatGPT & other Chatbots in the AI-Driven Era" is a book written by Florin Badita that explores the potential uses of advanced large language models (LLMs) like ChatGPT in various industries and scenarios. The book provides 1337 use cases and around 4000 examples of how these technologies can be applied in the future. The author, Florin Badita, is a data scientist, social entrepreneur, activist, and artist who has written about his experiences with data analysis on Medium. He is on the Forbes 30 under 30 list, a TedX speaker, and Landecker Democracy Fellow 2021-2022. He is known for his work in activism, founding the civic group Corruption Kills in 2015, GIS, data analysis, and data mining. The book covers a variety of tips and strategies, including how to avoid errors when converting between different units, how to provide context and examples to improve the LLM's understanding of the content, and how to use the Markdown language to format and style text in chatbot responses. The book is intended for anyone interested in learning more about the capabilities and potential uses of ChatGPT and other language models in the rapidly evolving world of artificial intelligence. After the introduction part and the Table of content, the book is split into 20 categories, each category then being split into smaller categories with at least one use-case and multiple examples A real example from the book: Category: 4 Science and technology [...] Sub-Category: 4.60 Robotics 4.60.1 Text Generation General example text prompt: "Generate a description of a new robot design" Formula: "Generate [description] of [robot design]" Specific examples of prompts: "Generate a detailed description of a robot designed for underwater exploration" "Generate a brief overview of a robot designed for assisting with construction tasks" "Generate a marketing pitch for a robot designed to assist with household chores" 4.60.2 Programming Assistance General example text prompt: "Write code to implement a specific behavior in a robot" Formula: "Write code to [implement behavior] in [robot]" Specific examples of prompts: "Write code to make a robot follow a specific path using sensors and control algorithms" "Write code to make a robot respond to voice commands using natural language processing" "Write code to make a robot perform basic tasks in a manufacturing setting, such as moving objects from one location to another"

Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities

Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities PDF Author: Mustapha Hatti
Publisher: Springer Nature
ISBN: 3030920380
Category : Technology & Engineering
Languages : en
Pages : 927

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Book Description
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, and students. 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.