Katarina Grolinger
Cited by
Cited by
Machine learning with big data: Challenges and approaches
A L’heureux, K Grolinger, HF Elyamany, MAM Capretz
Ieee Access 5, 7776-7797, 2017
Data management in cloud environments: NoSQL and NewSQL data stores
K Grolinger, WA Higashino, A Tiwari, MAM Capretz
Journal of Cloud Computing: advances, systems and applications 2, 1-24, 2013
MLaaS: Machine Learning as a Service
M Ribeiro, K Grolinger, MAM Capretz
IEEE International Conference on Machine Learning and Applications, 2015
An ensemble learning framework for anomaly detection in building energy consumption
DB Araya, K Grolinger, HF ElYamany, MAM Capretz, G Bitsuamlak
Energy and Buildings 144, 191-206, 2017
Challenges for mapreduce in big data
K Grolinger, M Hayes, WA Higashino, A L'Heureux, DS Allison, ...
2014 IEEE world congress on services, 182-189, 2014
Deep learning for load forecasting with smart meter data: Online Adaptive Recurrent Neural Network
MN Fekri, H Patel, K Grolinger, V Sharma
Applied Energy 282, 116177, 2021
Energy forecasting for event venues: Big data and prediction accuracy
K Grolinger, A L’Heureux, MAM Capretz, L Seewald
Energy and buildings 112, 222-233, 2016
Transfer learning with seasonal and trend adjustment for cross-building energy forecasting
M Ribeiro, K Grolinger, HF ElYamany, WA Higashino, MAM Capretz
Energy and Buildings 165, 352-363, 2018
Deep learning for load forecasting: Sequence to sequence recurrent neural networks with attention
L Sehovac, K Grolinger
Ieee Access 8, 36411-36426, 2020
Edge-cloud computing for Internet of Things data analytics: Embedding intelligence in the edge with deep learning
AM Ghosh, K Grolinger
IEEE Transactions on Industrial Informatics 17 (3), 2191-2200, 2020
Distributed load forecasting using smart meter data: Federated learning with Recurrent Neural Networks
MN Fekri, K Grolinger, S Mir
International Journal of Electrical Power & Energy Systems 137, 107669, 2022
Deep neural networks for human activity recognition with wearable sensors: Leave-one-subject-out cross-validation for model selection
D Gholamiangonabadi, N Kiselov, K Grolinger
Ieee Access 8, 133982-133994, 2020
Generating energy data for machine learning with recurrent generative adversarial networks
MN Fekri, AM Ghosh, K Grolinger
Energies 13 (1), 130, 2019
Forecasting residential energy consumption: Single household perspective
XM Zhang, K Grolinger, MAM Capretz, L Seewald
2018 17th IEEE International Conference on Machine Learning and Applications …, 2018
Collective contextual anomaly detection framework for smart buildings
DB Araya, K Grolinger, HF ElYamany, MAM Capretz, G Bitsuamlak
2016 international joint conference on neural networks (IJCNN), 511-518, 2016
Forecasting Building Energy Consumption with Deep Learning: A Sequence to Sequence Approach
L Sehovac, C Nesen, K Grolinger
Energy consumption prediction with big data: Balancing prediction accuracy and computational resources
K Grolinger, MAM Capretz, L Seewald
2016 IEEE International Congress on Big Data (BigData Congress), 157-164, 2016
Load forecasting under concept drift: Online ensemble learning with recurrent neural network and ARIMA
RK Jagait, MN Fekri, K Grolinger, S Mir
IEEE Access 9, 98992-99008, 2021
Knowledge as a service framework for disaster data management
K Grolinger, MAM Capretz, E Mezghani, E Exposito
2013 Workshops on Enabling Technologies: Infrastructure for Collaborative …, 2013
Deep Learning: Edge-Cloud Data Analytics for IoT
AM Ghosh, K Grolinger
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