Grey-Box Energy Modelling of Energy-Efficient House Using Hybrid Optimization Technique of Genetic Algorithms (GA) and Quasi-Newton Algorithms with Markov Chain Monte Carlo Uncertainty Distribution
Understanding energy demands and costs is important for policy makers and the energy sector, especially in the context of residential heating and cooling systems. To estimate the thermal demand of a residential house, a grey-box modelling method with a resistance–capacitance (RC) analogy was impleme...
Saved in:
| Main Authors: | Gulsun Demirezen, Alan S. Fung, Aidan Brookson |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/17/23/5941 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Implementing Bayesian inference on a stochastic CO2-based grey-box model
by: Shujie Yan, et al.
Published: (2025-03-01) -
Transfer Learning for the Prediction of Energy Performance of Water-Cooled Electric Chillers: Grey-Box Models Versus Deep Neural Network (DNN) Models
by: Hongwen Dou, et al.
Published: (2024-11-01) -
Bayesian Identification of High-Performance Aircraft Aerodynamic Behaviour
by: Muhammad Fawad Mazhar, et al.
Published: (2024-11-01) -
PREDICTIVE GREY MARKOV CHAIN MODEL FOR PITTING CORROSION IN PIPLINES
by: YU ShuRong, et al.
Published: (2016-01-01) -
An Empirical Comparison of Interpretable Models to Post-Hoc Explanations
by: Parisa Mahya, et al.
Published: (2023-05-01)