Exploring deterministic frequency deviations with explainable AI
Forschungszentrum Jülich（于利希研究中心）；University of Cologne（科隆大学）；Queen Mary University of London（伦敦玛丽女王大学）；Norwegian University of Life Sciences（挪威生命科学大学）
Johannes Kruse, Benjamin Schäfer, Dirk Witthaut
备注：
7 pages, 4 figures
发表信息：
2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), 133-139 (2021)
Deterministic frequency deviations (DFDs) critically affect power grid frequency quality and power system stability. A better understanding of these events is urgently needed as frequency deviations have been growing in the European grid in recent years. DFDs are partially explained by the rapid adjustment of power generation following the intervals of electricity trading, but this intuitive picture fails especially before and around noonday. In this article, we provide a detailed analysis of DFDs and their relation to external features using methods from explainable Artificial Intelligence. We establish a machine learning model that well describes the daily cycle of DFDs and elucidate key interdependencies using SHapley Additive exPlanations (SHAP). Thereby, we identify solar ramps as critical to explain patterns in the Rate of Change of Frequency (RoCoF).
Artificial Intelligence in Pediatric Echocardiography: Exploring Challenges, Opportunities, and Clinical Applications with Explainable AI and Federated Learning
Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School（布伦瑞克工业大学与汉诺威医学院彼得·L·赖歇茨医学信息学研究所）；Hannover Medical School（汉诺威医学院）
Exploring Variational Auto-Encoder Architectures, Configurations, and Datasets for Generative Music Explainable AI
Creative Computing Institute, University of the Arts London（伦敦艺术大学创意计算学院）；School of Electronic Engineering and Computer Science, Queen Mary University of London（伦敦大学玛丽皇后学院电子工程与计算机科学学院）；Carleton College（卡尔顿学院）
Exploring Machine Learning, Deep Learning, and Explainable AI Methods for Seasonal Precipitation Prediction in South America
Laboratório de Inteligência ARtificial para Aplicações AeroEspaciais e Ambientais (LIAREA)（人工智能应用航空与环境实验室）；Coordenação de Pesquisa Aplicada e Desenvolvimento Tecnológico (COPDT)（应用研究与技术开发协调处）；Programa de Pós-Graduação em Computação Aplicada (PGCAP)（应用计算硕士项目）；Instituto Nacional de Pesquisas Espaciais (INPE)（国家空间科学研究院）；Instituto de Estudos Avançados (IEAv)（高级研究学院）
Exploring Energy Landscapes for Minimal Counterfactual Explanations: Applications in Cybersecurity and Beyond
Netcompany-Intrasoft S.A.（Netcompany-Intrasoft公司）；Hellenic Mediterranean University（希腊地中海大学）；Harokopio University of Athens（雅典哈罗科皮奥大学）；University of Western Macedonia（西马其顿大学）
Exploring Trust Calibration in XAI - The Impact of Exposing Model Limitations to Lay Users
Research Center Trustworthy Data Science and Security（可信数据科学与安全研究中心）；University Alliance Ruhr（鲁尔大学联盟）；University of Duisburg-Essen（杜伊斯堡- Essen大学）；TU Dortmund University（多特蒙德技术大学）
X-SHIELD: Regularization for eXplainable Artificial Intelligence
Department of Computer Science and Artificial Intelligence（计算机科学与人工智能系）；Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI)（数据科学与计算智能安达卢西亚研究机构（DaSCI））；University of Granada（格拉纳达大学）
An Explainable Multi-Task Similarity Measure: Integrating Accumulated Local Effects and Weighted Fréchet Distance
Department of Computer Science, University of Alcala（阿尔卡拉大学计算机科学系）；Faculty of Law, Business and Government, Universidad Francisco de Vitoria（弗朗西斯科·维多利亚大学法学院、商业与政府学院）
AudioMNIST: Exploring Explainable Artificial Intelligence for Audio Analysis on a Simple Benchmark
Fraunhofer Heinrich-Hertz-Institute（弗劳恩霍夫海因里希·赫兹研究所）；Technische Universität Berlin（柏林工业大学）；Korea University（高丽大学）；Max Planck Institute for Informatics（马克斯·普朗克信息学研究所）；BIFOLD – Berlin Institute for the Foundations of Learning and Data（BIFOLD——柏林学习与数据基础研究所）
Self-Exploring Language Models for Explainable Link Forecasting on Temporal Graphs via Reinforcement Learning
University of Cambridge（剑桥大学）；Mila - Quebec AI Institute（魁北克人工智能研究院）；McGill University（麦吉尔大学）；University of Oxford（牛津大学）；National University of Singapore（新加坡国立大学）；University of Stuttgart（斯图加特大学）；Amazon（亚马逊公司）；AITHYRA
Exploring the AI Obedience: Why is Generating a Pure Color Image Harder than CyberPunk?
Harbin Institute of Technology, Shenzhen（哈尔滨工业大学（深圳））；City University of Hong Kong（城市大学）；Chinese University of Hong Kong（香港中文大学）；McGill University（麦吉尔大学）
