A review of data-driven fault detection and diagnostics for building HVAC systems
With the wide adoption of building automation system, and the advancement of data,
sensing, and machine learning techniques, data-driven fault detection and diagnostics …
sensing, and machine learning techniques, data-driven fault detection and diagnostics …
Fault detection and diagnosis of large-scale HVAC systems in buildings using data-driven methods: A comprehensive review
MS Mirnaghi, F Haghighat - Energy and Buildings, 2020 - Elsevier
Abnormal operation of HVAC systems can result in an increase in energy usage as well as
poor indoor air quality, thermal discomfort, and low productivity. Building automated systems …
poor indoor air quality, thermal discomfort, and low productivity. Building automated systems …
Analyze the energy consumption characteristics and affecting factors of Taiwan's convenience stores-using the big data mining approach
CFJ Kuo, CH Lin, MH Lee - Energy and Buildings, 2018 - Elsevier
This study applies big data mining, machine learning analysis technique and uses the
Waikato Environment for Knowledge Analysis (WEKA) as a tool to discuss the convenience …
Waikato Environment for Knowledge Analysis (WEKA) as a tool to discuss the convenience …
Complex building's energy system operation patterns analysis using bag of words representation with hierarchical clustering
Purpose Due to the large quantity of data that are recorded in energy efficient buildings,
understanding the behavior of various underlying operations has become a complex and …
understanding the behavior of various underlying operations has become a complex and …
Outliers detection method using clustering in buildings data
To achieve energy efficiency in buildings, a lot of raw data is recorded, during the operation
of buildings. This recorded raw data is further used for the analysis of the performance of …
of buildings. This recorded raw data is further used for the analysis of the performance of …
Automatic occupancy prediction using unsupervised learning in buildings data
The different aspects of building energy system operations can be analyzed from historic
data that are captured by various sensors during building operation. The analysis of these …
data that are captured by various sensors during building operation. The analysis of these …
On building multidimensional workflow models for complex systems modelling
J Malinao - 2017 - repositum.tuwien.at
From well-known, classical workflows such as Petri nets to one of the recent developments
of modelling frameworks such as the Business Process Modelling Notation, the …
of modelling frameworks such as the Business Process Modelling Notation, the …
Big data on decision making in energetic management of copper mining
It is proposed an analysis of the related variables with the energetic consumption in the
process of concentrate of copper; specifically ball mills and SAG. The methodology …
process of concentrate of copper; specifically ball mills and SAG. The methodology …
Finding the different patterns in buildings data using bag of words representation with clustering
The understanding of the buildings operation has become a challenging task due to the
large amount of data recorded in energy efficient buildings. Still, today the experts use visual …
large amount of data recorded in energy efficient buildings. Still, today the experts use visual …
[PDF][PDF] An integrated method for information and communication technology (ICT) supported energy efficiency evaluation and optimization in manufacturing …
H Wicaksono - 2016 - core.ac.uk
This thesis develops an approach which utilizes information and communication
technologies and supports a holistic evaluation of energy efficiency in discrete …
technologies and supports a holistic evaluation of energy efficiency in discrete …