Publicaties
Gekozen filters:
Gekozen filters:
Towards metamodeling the neighborhood-level grid impact of low-carbon technologies KU Leuven
Heating electrification and distributed renewable generation in the residential sector are among prominent solutions advocated for energy saving and carbon emission reduction. However, research shows these low-carbon technologies may create issues at the low-voltage (LV) distribution grid. High-level policy assessment currently lacks the support to take into account such local grid restrictions. To achieve this, we propose the use of a ...
A Probabilistic Framework Towards Metamodeling the Impact of Residential Heat Pumps and PV on Low-voltage Grids KU Leuven
European policies aiming to reduce residential energy use and carbon emissions promote energy efficiency in buildings, heating electrification and renewable electricity generation. Low-carbon technologies, such as heat pumps and rooftop photovoltaic systems (PV) can significantly affect electricity load patterns, with potential impacts on all levels of the electricity system. Technical constraints at the distribution grid level may limit the ...
Metamodeling energy indicators in neighborhoods with growing deployment of heat pumps and rooftop photovoltaics KU Leuven
This paper evaluates simple metamodels to predict local electricity demand and grid restrictions, in residential neighborhoods with heat pumps and photovoltaics. The procedure and challenges of developing such models are described. Modeling is based on results obtained from detailed simulation of buildings and the grid. Linear and logistic regression models are developed for electricity demand and minimum voltage respectively, as a function of ...
Deep Gaussian process metamodeling of sequentially sampled non-stationary response surfaces Universiteit Gent
Sensitivity analysis of expensive black-box systems using metamodeling Universiteit Gent
Estimation of bulk optical properties of turbid media from hyperspectral scatter imaging measurements: Metamodeling approach KU Leuven
In many research areas and application domains, the bulk optical properties of biological materials are of great interest. Unfortunately, these properties cannot be obtained easily for complex turbid media. In this study, a metamodeling approach has been proposed and applied for the fast and accurate estimation of the bulk optical properties from contactless and non-destructive hyperspectral scatter imaging (HSI) measurements. A set of liquid ...
Metamodeling approach for efficient estimation of optical properties of turbid media from spatially resolved diffuse reflectance measurements KU Leuven
A metamodeling approach is introduced and applied to efficiently estimate the bulk optical properties of turbid media from spatially resolved spectroscopy (SRS) measurements. The model has been trained on a set of liquid phantoms covering a wide range of optical properties representative for food and agricultural products and was successfully validated in forward and inverse mode on phantoms not used for training the model. With relative ...
Pareto-based multi-output metamodeling with active learning Universiteit Gent
When dealing with computationally expensive simulation codes or process measurement data, global surrogate modeling methods are firmly established as facilitators for design space exploration, sensitivity analysis, visualization and optimization. Popular surrogate model types include neural networks, support vector machines, and splines. In addition, the cost of each simulation mandates the use of active learning strategies where data points ...