紀錄類型: |
書目-電子資源
: Monograph/item
|
正題名/作者: |
Machine learning applications for intelligent energy management/ edited by Haris Doukas, Vangelis Marinakis, Elissaios Sarmas. |
其他題名: |
invited chapters from experts on the energy field / |
其他作者: |
Doukas, Haris. |
出版者: |
Cham :Springer Nature Switzerland : : 2024., |
面頁冊數: |
xiv, 226 p. :ill. (some col.), digital ;24 cm. |
內容註: |
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. |
Contained By: |
Springer Nature eBook |
標題: |
Electric utilities - ManagementxTechnological innovations. - |
電子資源: |
https://doi.org/10.1007/978-3-031-47909-0 |
ISBN: |
9783031479090 |