Grigoras Gheorghe
Citata da
Citata da
Two-stage distributed generation optimal sizing with clustering-based node selection
F Rotaru, G Chicco, G Grigoras, G Cartina
International journal of electrical power & energy systems 40 (1), 120-129, 2012
Clustering techniques in load profile analysis for distribution stations
EC Bobric, G Cartina, G Grigoras
Advances in electrical and computer engineering 9 (1), 63-66, 2009
An assessment of the renewable energy potential using a clustering based data mining method. Case study in Romania
G Grigoras, F Scarlatache
Energy 81, 416-429, 2015
Using k-means clustering method in determination of the optimal placement of distributed generation sources in electrical distribution systems
F Scarlatache, G Grigoraş, G Chicco, G Cârţină
2012 13th International Conference on Optimization of Electrical and …, 2012
A New Vision on the Prosumers Energy Surplus Trading Considering Smart Peer-to-Peer Contracts
BC Neagu, O Ivanov, G Grigoras, M Gavrilas
Mathematics 8 (2), 235, 2020
Phase load balancing in low voltage distribution networks using metaheuristic algorithms
O Ivanov, BC Neagu, M Gavrilas, G Grigoras, CV Sfintes
2019 International Conference on Electromechanical and Energy Systems …, 2019
Smart Meter Data-based three-stage algorithm to calculate power and energy losses in low voltage distribution networks
G Grigoras, BC Neagu
Energies 12 (15), 3008, 2019
Optimal Phase Load Balancing in Low Voltage Distribution Networks Using a Smart Meter Data-based Algorithm
G Grigoras, BC Neagu, M Gavrilas, I Tristiu, C Bulac
Mathematics 8 (4), 549, 2020
An efficient peer-to-peer based blokchain approach for prosumers energy trading in microgrids
BC Neagu, G Grigoraş, O Ivanov
2019 8th International Conference on Modern Power Systems (MPS), 1-4, 2019
ICT based smart management solution to realize water and energy savings through energy efficiency measures in water distribution systems
G Grigoras, N Bizon, FM Enescu, JML Guede, GF Salado, R Brennan, ...
2018 10th international conference on electronics, computers and artificial …, 2018
Improved fuzzy load models by clustering techniques in optimal planning of distribution networks
G Cartina, G Grigoras, EC Bobric, D Comanescu
2009 IEEE Bucharest PowerTech, 1-6, 2009
Missing data treatment of the load profiles in distribution networks
G Grigoras, G Cartina, EC Bobric, C Barbulescu
2009 IEEE Bucharest PowerTech, 1-5, 2009
Load estimation for distribution systems using clustering techniques
G Grigoraş, F Scarlatache, G Cârţină
2012 13th International Conference on Optimization of Electrical and …, 2012
The efficiency of the clustering techniques in the energy losses evaluation from distribution networks
G Grigoras, G Cartina, M Istrate, F Rotaru
International Journal of Mathematical Models and Methods in Applied Sciences …, 2011
Customer classification and load profiling using data from Smart Meters
G Grigoras, O Ivanov, M Gavrilas
12th Symposium on Neural Network Applications in Electrical Engineering …, 2014
Using of clustering techniques in optimal placement of phasor measurements units
G Grigoras, G Cartina, M Gavrilas
9th WSEAS/IASME International Conference on Electric Power Systems, High …, 2009
Optimal capacitor bank allocation in electricity distribution networks using metaheuristic algorithms
O Ivanov, BC Neagu, G Grigoras, M Gavrilas
Energies 12 (22), 4239, 2019
Processing of smart meters data for peak load estimation of consumers
G Grigoras, F Scarlatache
2015 9th International Symposium on Advanced Topics in Electrical …, 2015
Strategies for power/energy saving in distribution networks
G Grigoras, G Cartina, EC Bobric
Advances in Electrical and Computer Engineering 10 (2), 61-64, 2010
Fuzzy Technique used for Energy Loss Determination in Medium and
EC Bobric, G Cartina, G Grigoras
Elektronika ir Elektrotechnika 90 (2), 95-98, 2009
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