Artificial Intelligence Techniques For A Scalable Energy Transition
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Artificial Intelligence Techniques for a Scalable Energy Transition
Author: Moamar Sayed-Mouchaweh
language: en
Publisher: Springer Nature
Release Date: 2020-06-19
This book presents research in artificial techniques using intelligence for energy transition, outlining several applications including production systems, energy production, energy distribution, energy management, renewable energy production, cyber security, industry 4.0 and internet of things etc. The book goes beyond standard application by placing a specific focus on the use of AI techniques to address the challenges related to the different applications and topics of energy transition. The contributions are classified according to the market and actor interactions (service providers, manufacturers, customers, integrators, utilities etc.), to the SG architecture model (physical layer, infrastructure layer, and business layer), to the digital twin of SG (business model, operational model, fault/transient model, and asset model), and to the application domain (demand side management, load monitoring, micro grids, energy consulting (residents, utilities), energy saving, dynamic pricing revenue management and smart meters, etc.).
Advanced Perspectives and Trends in Digital Transformation of Firms, Networks, and Society
Author: Francesco Schiavone
language: en
Publisher: Springer Nature
Release Date: 2025-08-02
This book provides a comprehensive review and a detailed snapshot of the newly emerging research trends and evidence about digital transformation in organizations, networks, and social groups. Featuring select best papers presented at the 2nd International Conference of the Digital Transformation Society (DTS) held in Naples, Itay in May 2024, the enclosed chapters explore the role of digital transformation in areas such as value creation; artificial intelligence (AI), and generative AI for the work and processes of the future; Internet of Things; big data management and valuation; digital business models; responsible AI and ethic; AI and Sustainable Development Goals (SDGs); smart mobility and transportation; smart cities; digital marketing; human resource management (HRM); and metaverse, among others. The book is a rich source of new evidence and concepts on digital transformation and an important reading for all scholars and practitioners interested in technology and innovation management.
Explainable AI Within the Digital Transformation and Cyber Physical Systems
Author: Moamar Sayed-Mouchaweh
language: en
Publisher: Springer Nature
Release Date: 2021-10-30
This book presents Explainable Artificial Intelligence (XAI), which aims at producing explainable models that enable human users to understand and appropriately trust the obtained results. The authors discuss the challenges involved in making machine learning-based AI explainable. Firstly, that the explanations must be adapted to different stakeholders (end-users, policy makers, industries, utilities etc.) with different levels of technical knowledge (managers, engineers, technicians, etc.) in different application domains. Secondly, that it is important to develop an evaluation framework and standards in order to measure the effectiveness of the provided explanations at the human and the technical levels. This book gathers research contributions aiming at the development and/or the use of XAI techniques in order to address the aforementioned challenges in different applications such as healthcare, finance, cybersecurity, and document summarization. It allows highlighting the benefits and requirements of using explainable models in different application domains in order to provide guidance to readers to select the most adapted models to their specified problem and conditions. Includes recent developments of the use of Explainable Artificial Intelligence (XAI) in order to address the challenges of digital transition and cyber-physical systems; Provides a textual scientific description of the use of XAI in order to address the challenges of digital transition and cyber-physical systems; Presents examples and case studies in order to increase transparency and understanding of the methodological concepts.