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Time series building energy systems data imputation

Adrien Lucbert (Onderzoeker); Juliën van der Niet (Lid Lectoraat); Albert Corson (Onderzoeker); Michael Weij (Student); Ramon Isaac van der Elst (Lid Lectoraat); Jesús Mª Martínez de Juan (Onderzoeker); Tadeo Baldiri Salcedo Rahola (Docent)

Completeness of data is vital for the decision making and forecasting on Building Management Systems (BMS) as missing data can result in biased decision making down the line. This study creates a guideline for imputing the gaps in BMS datasets by comparing four methods: K Nearest Neighbour algorithm …

2022-05-20TechniekConferentiebijdrage

Times Series Building Energy Systems data Imputation

T.B. Salcedo Rahola (Docent); Juliën van der Niet (Student); MIchiel Weij (Student); Ramon Isaac van der Elst (Student)

Completeness of data is vital for the decision making and forecasting on Building Management Systems (BMS) as missing data can result in biased decision making down the line. This study creates a guideline for imputing the gaps in BMS datasets by comparing four methods: K Nearest Neighbour algorithm …

2022Techniek; …Conferentiebijdrage

Classification of dwelling characteristics with machine learning algorithms based on smart meter & weather data

T.B. Salcedo Rahola (Lid Lectoraat)

Machine learning models have proven to be reliable methods in classification tasks. However, little research has been done on classifying dwelling characteristics based on smart meter & weather data before. Gaining insights into dwelling characteristics can be helpful to create/improve the policies for …

2020TechniekConferentiebijdrage

Time series building energy systems data imputation

Times Series Building Energy Systems data Imputation

Classification of dwelling characteristics with machine learning algorithms based on smart meter & weather data

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