Machine Learning Applications for Intelligent Energy Management: Invited Chapters from Experts on the Energy Field: Learning and Analytics in Intelligent Systems, cartea 35
Editat de Haris Doukas, Vangelis Marinakis, Elissaios Sarmasen Limba Engleză Hardback – 28 ian 2024
The book at hand presents state-of-the-art developments in artificial intelligence-empowered analytics of energy data and artificial intelligence-empowered application development. Topics covered include a presentation of the various stakeholders in the energy sector and their corresponding required analytic services, such as state-of-the-art machine learning, artificial intelligence, and optimization models and algorithms tailored for a series of demanding energy problems and aiming at providing optimal solutions under specific constraints.
Professors, researchers, scientists, engineers, and students in energy sector-related disciplines are expected to be inspired and benefit from this book, along with readers from other disciplines wishing to learn more about this exciting new field of research.
Din seria Learning and Analytics in Intelligent Systems
- 20% Preț: 1416.84 lei
- 18% Preț: 1208.80 lei
- 18% Preț: 1216.53 lei
- 20% Preț: 803.44 lei
- 20% Preț: 645.66 lei
- 20% Preț: 1244.84 lei
- 5% Preț: 1560.07 lei
- 20% Preț: 1285.87 lei
- 20% Preț: 973.29 lei
- 15% Preț: 635.63 lei
- 18% Preț: 1202.31 lei
- 20% Preț: 959.39 lei
- 20% Preț: 974.11 lei
- 20% Preț: 907.20 lei
- 18% Preț: 1216.24 lei
- 20% Preț: 1259.54 lei
- 20% Preț: 1255.02 lei
- 20% Preț: 1132.17 lei
- 20% Preț: 1132.04 lei
- 20% Preț: 970.85 lei
- 20% Preț: 1018.54 lei
- 20% Preț: 907.01 lei
- 20% Preț: 1022.75 lei
- 20% Preț: 968.44 lei
- 20% Preț: 1028.42 lei
- 20% Preț: 1278.93 lei
Preț: 973.92 lei
Preț vechi: 1217.40 lei
-20% Nou
Puncte Express: 1461
Preț estimativ în valută:
186.37€ • 196.07$ • 154.31£
186.37€ • 196.07$ • 154.31£
Carte disponibilă
Livrare economică 24 decembrie 24 - 07 ianuarie 25
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9783031479083
ISBN-10: 3031479084
Pagini: 226
Ilustrații: XIV, 226 p. 110 illus., 107 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.61 kg
Ediția:1st ed. 2024
Editura: Springer Nature Switzerland
Colecția Springer
Seria Learning and Analytics in Intelligent Systems
Locul publicării:Cham, Switzerland
ISBN-10: 3031479084
Pagini: 226
Ilustrații: XIV, 226 p. 110 illus., 107 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.61 kg
Ediția:1st ed. 2024
Editura: Springer Nature Switzerland
Colecția Springer
Seria Learning and Analytics in Intelligent Systems
Locul publicării:Cham, Switzerland
Cuprins
AI-Powered Transformation and Decentralization of the Energy Ecosystem.- An Explainable AI-based Framework for Supporting Decisions in Energy Management.- The big data value chain for the provision of AI-enabled energy analytics services.- MODULAR BIG DATA APPLICATIONS FOR ENERGY SERVICES IN BUILDINGS AND DISTRICTS: DIGITAL TWINS, TECHNICAL BUILDING MANAGEMENT SYSTEMS AND ENERGY SAVINGS CALCULATIONS.- Neural network based approaches for fault diagnosis of photovoltaic systems.- Clustering of building stock.- BIG DATA SUPPORTED ANALYTICS FOR NEXT GENERATION ENERGY PERFORMANCE CERTIFICATES.- Synthetic data on buildings.
Textul de pe ultima copertă
As carbon dioxide (CO2) emissions and other greenhouse gases constantly rise and constitute the main contributor to climate change, temperature rise and global warming, artificial intelligence, big data, Internet of things, and blockchain technologies are enlisted to help enforce energy transition and transform the entire energy sector.
The book at hand presents state-of-the-art developments in artificial intelligence-empowered analytics of energy data and artificial intelligence-empowered application development. Topics covered include a presentation of the various stakeholders in the energy sector and their corresponding required analytic services, such as state-of-the-art machine learning, artificial intelligence, and optimization models and algorithms tailored for a series of demanding energy problems and aiming at providing optimal solutions under specific constraints.
Professors, researchers, scientists, engineers, and students inenergy sector-related disciplines are expected to be inspired and benefit from this book, along with readers from other disciplines wishing to learn more about this exciting new field of research.
The book at hand presents state-of-the-art developments in artificial intelligence-empowered analytics of energy data and artificial intelligence-empowered application development. Topics covered include a presentation of the various stakeholders in the energy sector and their corresponding required analytic services, such as state-of-the-art machine learning, artificial intelligence, and optimization models and algorithms tailored for a series of demanding energy problems and aiming at providing optimal solutions under specific constraints.
Professors, researchers, scientists, engineers, and students inenergy sector-related disciplines are expected to be inspired and benefit from this book, along with readers from other disciplines wishing to learn more about this exciting new field of research.
Caracteristici
Presents novel applications of AI in the domain of building energy efficiency and smart energy management Provides detailed paradigms based on real data and real-life applications Shows a methodological framework of each application in detail