Stebėti
Elena Mocanu
Elena Mocanu
Assistant Professor, University of Twente
Patvirtintas el. paštas utwente.nl
Pavadinimas
Cituota
Cituota
Metai
Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science
DC Mocanu, E Mocanu, P Stone, PH Nguyen, M Gibescu, A Liotta
Nature communications 9 (1), 1-12, 2017
7702017
Deep learning for estimating building energy consumption
E Mocanu, PH Nguyen, M Gibescu, WL Kling
Sustainable Energy, Grids and Networks 6, 91-99, 2016
7032016
On-line building energy optimization using deep reinforcement learning
E Mocanu, DC Mocanu, PH Nguyen, A Liotta, ME Webber, M Gibescu, ...
IEEE transactions on smart grid 10 (4), 3698-3708, 2018
6592018
Unsupervised energy prediction in a Smart Grid context using reinforcement cross-building transfer learning
E Mocanu, PH Nguyen, WL Kling, M Gibescu
Energy and Buildings 116, 646-655, 2016
1842016
Deep learning versus traditional machine learning methods for aggregated energy demand prediction
NG Paterakis, E Mocanu, M Gibescu, B Stappers, W van Alst
2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT …, 2017
1362017
A topological insight into restricted Boltzmann machines
DC Mocanu, E Mocanu, PH Nguyen, M Gibescu, A Liotta
Machine Learning 104 (2), 243-270, 2016
1212016
Enabling cooperative behavior for building demand response based on extended joint action learning
LA Hurtado, E Mocanu, PH Nguyen, M Gibescu, RIG Kamphuis
IEEE Transactions on Industrial Informatics 14 (1), 127-136, 2017
812017
Comparison of machine learning methods for estimating energy consumption in buildings
E Mocanu, PH Nguyen, M Gibescu, WL Kling
2014 international conference on probabilistic methods applied to power …, 2014
702014
Big data application in power systems
R Arghandeh, Y Zhou
Elsevier, 2017
672017
Big IoT data mining for real-time energy disaggregation in buildings
DC Mocanu, E Mocanu, PH Nguyen, M Gibescu, A Liotta
2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016
632016
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity
S Liu, T Chen, Z Atashgahi, X Chen, G Sokar, E Mocanu, M Pechenizkiy, ...
International Conference on Learning Representations ICLR 2022, arXiv …, 2022
612022
Dynamic Sparse Training for Deep Reinforcement Learning
G Sokar, E Mocanu, DC Mocanu, M Pechenizkiy, P Stone
IJCAI-ECAI 2022, 31st International Joint Conference on Artificial …, 2022
452022
Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders
Z Atashgahi, G Sokar, T van der Lee, E Mocanu, DC Mocanu, R Veldhuis, ...
Machine Learning Journal (ECML-PKDD 2022 journal track), 2022
412022
Forecasting
E Mocanu, DC Mocanu, NG Paterakis, M Gibescu
Local Electricity Markets, 243-257, 2021
40*2021
Demand forecasting at low aggregation levels using factored conditional restricted Boltzmann machine
E Mocanu, PH Nguyen, M Gibescu, EM Larsen, P Pinson
2016 Power Systems Computation Conference (PSCC), 1-7, 2016
392016
Energy disaggregation for real-time building flexibility detection
E Mocanu, PH Nguyen, M Gibescu
2016 IEEE Power and Energy Society General Meeting (PESGM), 1-5, 2016
352016
Deep learning for power system data analysis
E Mocanu, HP Nguyen, M Gibescu
Book chapter in Big data application in power systems, 2017
332017
Dynamic Sparse Network for Time Series Classification: Learning What to" see''
Q Xiao, B Wu, Y Zhang, S Liu, M Pechenizkiy, E Mocanu, DC Mocanu
NeurIPS 2022, arXiv:2212.09840, 2022
312022
Sparse Training Theory for Scalable and Efficient Agents
DC Mocanu, E Mocanu, T Pinto, S Curci, PH Nguyen, M Gibescu, D Ernst, ...
20th International Conference on Autonomous Agents and Multiagent Systems …, 2021
302021
Comfort-constrained demand flexibility management for building aggregations using a decentralized approach
LA Hurtado, E Mocanu, PH Nguyen, M Gibescu, WL Kling
2015 International Conference on Smart Cities and Green ICT Systems …, 2015
252015
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Straipsniai 1–20