Explainability-based trust algorithm for electricity price forecasting modelsHeistrene, Leena; Machlev, Ram; Perl, Michael; Belikov, Juri; Baimel, Dmitry; Levy, Kfir; Mannor, Shie; Levron, YoashEnergy and AI2023 / art 100259, 18 p https://doi.org/10.1016/j.egyai.2023.100259

Explaining the decisions of deep learning models for load disaggregation (NILM) based on XAIMachlev, Ram; Malka, Asaf; Perl, Michael; Levron, Yoash; Belikov, Juri2022 IEEE Power & Energy Society General Meeting (PESGM)2022 / art. 183865 , p. 1-5 : ill https://doi.org/10.1109/PESGM48719.2022.9917049

Explaining the decisions of power quality disturbance classifiers using latent space featuresMachlev, Ram; Perl, Michael; Caciularu, Avi; Belikov, Juri; Levy, Kfir Yehuda; Levron, YoashInternational journal of electrical power & energy systems2023 / art. 108949 https://doi.org/10.1016/j.ijepes.2023.108949

Measuring explainability and trustworthiness of power quality disturbances classifiers using XAI - explainable artificial intelligenceMachlev, Ram; Perl, Michael; Belikov, Juri; Levy, Kfir; Levron, YoashIEEE transactions on industrial informatics2022 / p. 5127−5137 https://doi.org/10.1109/TII.2021.3126111 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS