Big Data for Energy Management and Energy-Efficient Buildings
European buildings are producing a massive amount of data from a wide spectrum of energy-related sources, such as smart meters’ data, sensors and other Internet of things devices, creating new research challenges. In this context, the aim of this paper is to present a high-level data-driven architec...
Main Author: | Vangelis Marinakis |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-03-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/13/7/1555 |
Similar Items
-
A Holistic Review of Building Energy Efficiency and Reduction Based on Big Data
by: Jeeyoung Lim, et al.
Published: (2021-02-01) -
Concept and benchmark results for Big Data energy forecasting based on Apache Spark
by: Jorge Ángel González Ordiano, et al.
Published: (2018-03-01) -
From Ethnographic Research to Big Data Analytics—A Case of Maritime Energy-Efficiency Optimization
by: Yemao Man, et al.
Published: (2020-03-01) -
A review of data mining technologies in building energy systems: Load prediction, pattern identification, fault detection and diagnosis
by: Yang Zhao, et al.
Published: (2020-04-01) -
Metrics for Data-driven Energy Efficiency
by: Song, Shuang
Published: (2020)