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Konstantinos Theodorakos
Konstantinos Theodorakos
Ph.D. researcher, KU Leuven
Verified email at esat.kuleuven.be - Homepage
Title
Cited by
Cited by
Year
A scalable ensemble approach to forecast the electricity consumption of households
L Botman, J Soenen, K Theodorakos, A Yurtman, J Bekker, ...
IEEE Transactions on Smart Grid 14 (1), 757-768, 2022
122022
Decomposition-residuals neural networks: Hybrid system identification applied to electricity demand forecasting
K Theodorakos, OM Agudelo, M Espinoza, B De Moor
IEEE Open Access Journal of Power and Energy 9, 241-253, 2022
82022
Island Transpeciation: A Co-Evolutionary Neural Architecture Search, applied to country-scale air-quality forecasting
K Theodorakos, OM Agudelo, J Schreurs, JAK Suykens, B De Moor
IEEE Transactions on Evolutionary Computation, 2022
32022
Modelling of stochastic compartmental spatio-temporal epidemic simulations with cellular automata and acceleration with CPU and GPGPU parallelism
K Theodorakos
Universiteit Antwerpen, 2016
32016
Examination of influencing factors and high-risk regions of dengue in Nicaragua, using spatiotemporal compartmental simulations
K Theodorakos, J Broeckhove, L Willem
Tropical Medicine & International Health 22, 156-7, 2017
22017
Ozone forecasting across Belgium with co-evolutionary neural architecture search
K Theodorakos, OM Agudelo Manozca, J Schreurs, J Suykens, B De Moor
Proceedings of BNAIC/BeNeLearn 2022, 2022
2022
Explainable Representative-Days Clustering on Low-Voltage Grid Meters and Feeders, with Noise-Aware Multi-Objective Bayesian Optimization, Applied to Grid-Congestion Events
K Theodorakos, OM Agudelo, T Becker, K Vanthournout, R D'hulst, ...
Applied to Grid-Congestion Events, 0
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