• 348 Citations
  • 10 h-Index
20142019
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Research Output 2014 2019

2019
27 Downloads (Pure)

Airport Restroom Cleanliness Prediction Using Real Time User Feedback Data

Ros, K., Mocanu, E. & Seifert, C., 2019.

Research output: Contribution to conferencePaper

Open Access
File
1 Citation (Scopus)

Collaborative learning for classification and prediction of building energy flexibility

Kumar, A., Mocanu, E., Babar, M. & Nguyen, P. H., 21 Nov 2019, Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe). IEEE, 8905597

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Decision trees
Support vector machines
Energy utilization
Neural networks
Long short-term memory
45 Downloads (Pure)

Collaborative learning for classification and prediction of building energy flexibility

Kumar, A., Mocanu, E., Babar, M. & Nguyen, P. H., 2019, (Accepted/In press) 9th IEEE PES Innovative Smart Grid Technology Conference Europe. IEEE, 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

File
Decision trees
Support vector machines
Energy utilization
Neural networks
Long short-term memory
2018
15 Citations (Scopus)

Deep learning versus traditional machine learning methods for aggregated energy demand prediction

Paterakis, N. G., Mocanu, E., Gibescu, M., Stappers, B. & Alst, W. V., 18 Jan 2018, 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe). IEEE, 17507113

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Learning systems
Multilayer neural networks
Linear regression
Artificial intelligence
Support vector machines

Deep reinforcement learning for scheduling

Mocanu, E., Nguyen, P. H. & Gibescu, M., 2018.

Research output: Contribution to conferencePaper

9 Citations (Scopus)

Enabling cooperative behavior for building demand response based on extended joint action learning

Hurtado Muñoz, L. A., Mocanu, E., Nguyen, P. H., Gibescu, M. & Kamphuis, R. I. G., 1 Jan 2018, In : IEEE transactions on industrial informatics. 14, 1, p. 127-136 10 p., 8039194.

Research output: Contribution to journalArticleAcademicpeer-review

Reinforcement learning
Decision making
Uncertainty
2 Citations (Scopus)
3 Downloads (Pure)

One-shot learning using Mixture of Variational Autoencoders: A generalization learning approach

Mocanu, D. C. & Mocanu, E., 11 Jul 2018, 17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018. Dastani, M., Sukthankar, G., André, E. & Koenig, S. (eds.). The International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), Vol. 3. p. 2016-2018 3 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
File
Learning algorithms
Deep learning
20 Citations (Scopus)
1 Downloads (Pure)

On-line building energy optimization using deep reinforcement learning

Mocanu, E., Mocanu, D. C., Nguyen, P. H., Liotta, A., Webber, M. E., Gibescu, M. & Slootweg, J. G., 8 May 2018, In : IEEE transactions on smart grid. 10, 4, p. 3698-3708 11 p., 8356086.

Research output: Contribution to journalArticleAcademicpeer-review

Reinforcement learning
Advanced metering infrastructures
Energy management systems
Electric vehicles
Power generation
21 Citations (Scopus)
4 Downloads (Pure)

Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science

Mocanu, D. C., Mocanu, E., Stone, P., Nguyen, P. H., Gibescu, M. & Liotta, A., 19 Jun 2018, In : Nature communications. 9, 1, 12 p., 2383.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
education
Learning
Neural networks
Neural Networks (Computer)
Artificial Intelligence
21 Downloads (Pure)

Statistical Learning versus Deep Learning: Performance Comparison for Building Energy Prediction Methods

Mynhoff, P. A., Mocanu, E. & Gibescu, M., Sep 2018, 8th IEEE PES Innovative Smart Grid Technology Conference Europe. IEEE

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
File
Bayesian networks
Hidden Markov models
Consumer behavior
Multilayer neural networks
Artificial intelligence
2017
12 Citations (Scopus)

Big IoT data mining for real-time energy disaggregation in buildings

Mocanu, D. C., Mocanu, E., Nguyen, P. H., Gibescu, M. & Liotta, A., 9 Feb 2017, Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016), 9-12 October 2016, Budapest, Hungary. Piscataway: IEEE, p. 003765-003769

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Smart meters
Data mining
Domestic appliances
Learning systems
Electric power utilization
3 Citations (Scopus)

Deep learning for power system data analysis

Mocanu, E., Nguyen, P. H. & Gibescu, M., 27 Nov 2017, Big Data Application in Power Systems. Arghandeh, R. & Zhou, Y. (eds.). Elsevier, p. 125-158 34 p.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Advanced metering infrastructures
Energy management systems
Bayesian networks
Learning systems
Planning
83 Downloads (Pure)

Machine learning applied to smart grids

Mocanu, E., 9 Oct 2017, Eindhoven: Technische Universiteit Eindhoven. 143 p.

Research output: ThesisPhD Thesis - Research external, graduation external

Open Access
File
6 Citations (Scopus)

Medium voltage DC power systems on ships: An offline parameter estimation for tuning the controllers' linearizing function

Bosich, D., Sulligoi, G., Mocanu, E. & Gibescu, M., Jun 2017, In : IEEE Transactions on Energy Conversion. 32, 2, p. 748-758 11 p., 7867753.

Research output: Contribution to journalArticleAcademicpeer-review

Voltage control
Parameter estimation
Ships
Tuning
DC-DC converters
2016
28 Citations (Scopus)
2 Downloads (Pure)

A topological insight into restricted Boltzmann machines

Mocanu, D. C., Mocanu, E., Nguyen, P. H., Gibescu, M. & Liotta, A., Sep 2016, In : Machine Learning. 104, 2, p. 243-270 28 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Boltzmann Machine
Neurons
Topology
Feature extraction
Neural networks
128 Citations (Scopus)

Deep learning for estimating building energy consumption

Mocanu, E., Nguyen, P. H., Gibescu, M. & Kling, W. L., Jun 2016, In : Sustainable Energy, Grids and Networks. 6, p. 91–99 9 p.

Research output: Contribution to journalArticleAcademicpeer-review

Energy utilization
Neural networks
Recurrent neural networks
Stochastic models
Supply chains
11 Citations (Scopus)

Demand forecasting at low aggregation levels using Factored Conditional Restricted Boltzmann Machine

Mocanu, E., Nguyen, P. H., Gibescu, M., Larsen, E. M. & Pinson, P., 10 Aug 2016, 19th Power Systems Computation Conference, PSCC 2016: 20-24 June 2016, Genoa, Italy. Piscataway, NJ: IEEE, 7 p. 7540994

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Agglomeration
Time series
Learning systems
Neurons
Support vector machines
11 Citations (Scopus)
16 Downloads (Pure)

Energy disaggregation for real-time building flexibility detection

Mocanu, E., Nguyen, P. H. & Gibescu, M., 10 Nov 2016, 2016 IEEE Power and Energy Society General Meeting, PESGM 2016: 17-21 July 2016, Boston, Massachusetts. Piscataway, NJ: IEEE Computer Society, 7741966. (IEEE Power and Energy Society General Meeting; vol. 2016).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
File
Classifiers
Level measurement
Adaptive boosting
Energy management
Support vector machines
29 Citations (Scopus)
4 Downloads (Pure)

Unsupervised energy prediction in a smart grid context using reinforcement cross-buildings transfer learning

Mocanu, E., Nguyen, P. H., Kling, W. L. & Gibescu, M., 2016, In : Energy and buildings. 116, p. 646-655

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Bayesian networks
Reinforcement
Energy utilization
Reinforcement learning
Learning algorithms
2015
1 Citation (Scopus)

Benchmarking algorithms for resource allocation in smart buildings

Markidis, S., Mocanu, E., Gibescu, M., Nguyen, P. H. & Kling, W., 31 Aug 2015, 2015 IEEE Eindhoven PowerTech, PowerTech. IEEE, 7232812

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Intelligent buildings
Benchmarking
Resource Allocation
Particle swarm optimization (PSO)
Resource allocation
10 Citations (Scopus)

Comfort-constrained demand flexibility management for building aggregations using a decentralized approach

Hurtado, L. A., Mocanu, E., Nguyen, P. H., Gibescu, M. & Kling, W. L., 2015, SmartGreens 2015: 4th International Conference on Smart Cities and Green ICT Systems, 20-22 May 2015, Lisbon, Portugal : proceedings. Helfert, M., Krempels, K-H., Donnellan, B. & Klein, C. (eds.). SCITEPRESS - Science and Technology Publications, Lda., p. 157-166

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Agglomeration
Electric power distribution
Game theory
Energy resources
Energy efficiency
2014
23 Citations (Scopus)

Comparison of machine learning methods for estimating energy consumption in buildings

Mocanu, E., Nguyen, P. H., Gibescu, M. & Kling, W. L., 2014, Proceedings of the 13th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), 7-10 July 2014, Durham, United Kingdom. IEEE, p. 1-5

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Learning systems
Energy utilization
Office buildings
Electricity
Stochastic models
9 Citations (Scopus)

Inexpensive user tracking using Boltzmann machines

Mocanu, E., Mocanu, D. C., Zivkovic, Z., Ammar, H. B., Liotta, A. & Smirnov, E., 2014, Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC2014), 5-8 October, San Diego, California. Piscataway: IEEE, p. 1-6 14790385

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Adaptive boosting
Human computer interaction
Learning algorithms
Support vector machines
Learning systems
7 Citations (Scopus)

Optimizing the energy exchange between the Smart Grid and Building Systems

Mocanu, E., Aduda, K. O., Nguyen, P. H., Boxem, G., Zeiler, W., Gibescu, M. & Kling, W. L., 22 Oct 2014, 2014 49th International Universities Power Engineering Conference (UPEC). IEEE Computer Society, 6934772

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Intelligent buildings
Energy management systems
Game theory
Electric power systems
Multi agent systems
2 Citations (Scopus)

The potential and possible effects of power grid support activities on buildings: An analysis of experimental results for ventilation system

Aduda, K. O., Mocanu, E., Boxem, G., Nguyen, P. H., Kling, W. L. & Zeiler, W., 22 Oct 2014, 49th International Universities Power Engineering Conference (UPEC 2014). Piscataway, NJ: IEEE Computer Society, 6934623

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Ventilation
Controllability
Office buildings