Searched for: author%3A%22Hofman%2C+Jan%22
(1 - 3 of 3)
Xenochristou, Maria (author), Hutton, Chris (author), Hofman, Jan (author), Kapelan, Z. (author)
This study utilizes a rich UK data set of smart demand metering data, household characteristics, and weather data to develop a demand forecasting methodology that combines the high accuracy of machine learning models with the interpretability of statistical methods. For this reason, a random forest model is used to predict daily demands 1 day...
journal article 2021
Bailey, Olivia (author), Zlatanovic, L. (author), van der Hoek, J.P. (author), Kapelan, Z. (author), Blokker, Mirjam (author), Arnot, Tom (author), Hofman, Jan (author)
Reducing water use could impact existing sewer systems but this is not currently well understood. This work describes a new flow and wastewater quality model developed to investigate this impact. SIMDEUM WW® was used to generate stochastic appliance-specific discharge profiles for wastewater flow and concentration, which were fed into InfoWorks®...
journal article 2020
Hofman-Caris, Roberta (author), Bertelkamp, C. (author), de Waal, Luuk (author), van den Brand, Tessa (author), Hofman, Jan (author), van der Aa, René (author), van der Hoek, J.P. (author)
An increasing number of people want to reduce their environmental footprint by using harvested rainwater as a source for drinking water. Moreover, implementing rainwater harvesting (RWH) enables protection against damage caused by increasing precipitation frequency and intensity, which is predicted for Western Europe. In this study,...
journal article 2019