LIMREF: Local Interpretable Model Agnostic Rule-Based Explanations for Forecasting, with an Application to Electricity Smart Meter Data | Zendy

Dilini Rajapaksha | Zendy; Christoph Bergmeir | Zendy

Open Access

LIMREF: Local Interpretable Model Agnostic Rule-Based Explanations for Forecasting, with an Application to Electricity Smart Meter Data

Author(s) -

Dilini Rajapaksha,

Christoph Bergmeir

Publication year - 2022

Publication title -

proceedings of the aaai conference on artificial intelligence

Language(s) - English

Resource type - Journals

eISSN - 2374-3468

pISSN - 2159-5399

DOI - 10.1609/aaai.v36i11.21469

Subject(s) - interpretability , computer science , counterfactual thinking , electricity price forecasting , benchmark (surveying) , electricity , flexibility (engineering) , smart meter , demand forecasting , univariate , key (lock) , econometrics , machine learning , artificial intelligence , electricity market , operations research , economics , multivariate statistics , philosophy , management , geodesy , epistemology , geography , electrical engineering , engineering , computer security

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