Local Interpretable Explanations of Energy System Designs
Optimization-based design tools for energy systems often require a large set of parameter assumptions, e.g., about technology efficiencies and costs or the temporal availability of variable renewable energies. Understanding the influence of all these parameters on the computed energy system design v...
Main Authors: | Jonas Hülsmann, Julia Barbosa, Florian Steinke |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-02-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/16/5/2161 |
Similar Items
-
Improving Bug Assignment and Developer Allocation in Software Engineering through Interpretable Machine Learning Models
by: Mina Samir, et al.
Published: (2023-06-01) -
Towards explainable artificial intelligence in the banking sector
by: Jew, Clarissa Bella
Published: (2024) -
Explanations for Neural Networks by Neural Networks
by: Sascha Marton, et al.
Published: (2022-01-01) -
No silver bullet: interpretable ML models must be explained
by: Joao Marques-Silva, et al.
Published: (2023-04-01) -
Predicting zombie firms after the COVID-19 pandemic using explainable artificial intelligence
by: Dongwook Seo, et al.
Published: (2024-11-01)