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IEEE Transactions on Power Systems, ISSN 0885-8950, 09/2016, Volume 31, Issue 5, pp. 3850 - 3863
Journal Article
IEEE Transactions on Power Systems, ISSN 0885-8950, 01/2019, Volume 34, Issue 1, pp. 693 - 704
Journal Article
Applied Energy, ISSN 0306-2619, 08/2016, Volume 176, pp. 80 - 91
Journal Article
Energy, ISSN 0360-5442, 01/2013, Volume 49, Issue 1, pp. 252 - 267
Journal Article
Journal of Power Sources, ISSN 0378-7753, 05/2013, Volume 229, pp. 285 - 298
This paper proposes a probabilistic approach for economic/emission management of Micro Grids (MGs). In order to meet the electrical and thermal loads while... 
Economics | Electric power generation | Uncertainty | Fuel cell power plants | Probability theory | Emission | Mathematical models | Probabilistic methods
Journal Article
Energy, ISSN 0360-5442, 01/2013, Volume 49, pp. 252 - 267
Micro Grids (MGs) are clusters of the DER (Distributed Energy Resource) units and loads which can operate in both grid-connected and island modes. This paper... 
Journal Article
IEEE Transactions on Power Systems, ISSN 0885-8950, 07/2018, Volume 33, Issue 4, pp. 4519 - 4530
While substantial advances are observed in probabilistic forecasting for power system operation and electricity market applications, most approaches are still... 
chance-constrained optimization | Uncertainty | uncertainty sets | Decision making | robust optimization | Probabilistic logic | Probabilistic forecasting | Robustness | Random variables | Ellipsoids | Optimization | ellipsoids | PRICES | REACHABILITY ANALYSIS | SETS | POWER | GENERATION | OPTIMIZATION | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
IET Generation, Transmission & Distribution, ISSN 1751-8687, 6/2013, Volume 7, Issue 6, pp. 620 - 635
Nowadays, the rising concern about the costs of fuel and operation of generating units in the energy control centre deserve progress of solution methodologies... 
GROUP SEARCH OPTIMIZER | FLOW CONSTRAINTS | POWER | MULTIPLE FUELS | LOAD DISPATCH | UNITS | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
IETE JOURNAL OF RESEARCH, ISSN 0377-2063, 01/2013, Volume 59, Issue 1, pp. 9 - 16
This paper proposes a harmonic elimination technique for online reducing harmonics in voltage source inverters. In the presented method, in order to provide... 
Harmonic elimination | Multilevel inverter | Teaching-learning-based optimization | Diode-clamped multilevel inverter | ELIMINATION | TELECOMMUNICATIONS | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
IET Generation, Transmission and Distribution, ISSN 1751-8687, 01/2013, Volume 7, Issue 6, pp. 620 - 620
Nowadays, the rising concern about the costs of fuel and operation of generating units in the energy control centre deserves progress of solution methodologies... 
Economics | Algorithms | Computer simulation | FORTRAN | Software | Proposals | Optimization | Computer programs
Journal Article
2015 IEEE Power & Energy Society General Meeting, ISSN 1932-5517, 07/2015, Volume 2015-, pp. 1 - 5
The worldwide increase in the integration of photovoltaic generation has necessitated improvements in the forecasting approaches. Two models are proposed to... 
Training | Learning systems | Adaptation models | Extreme Machine Learning | Accuracy | photovoltaic generation | sequential learning | Biological system modeling | Predictive models | Forecasting | intermittency | forecasting | Availability | Solar cells | Photovoltaic cells | Neural networks | Mathematical models | High frequencies | Sampling
Conference Proceeding
2017 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia), 12/2017, pp. 1 - 5
The current literature in probabilistic forecasting is focused on quantifying the uncertainty of each random variable individually. This leads to the failure... 
Uncertainty | Estimation | photovoltaic power | Probabilistic logic | Trajectory | Calibration | Forecasting | Gaussian copula | multivariate prediction interval | R-Vine copula | Power generation | Multivariate prediction interval | Photovoltaic power
Conference Proceeding
03/2018
The current literature in probabilistic forecasting is focused on quantifying the uncertainty of each random variable individually. This leads to the failure... 
Statistics - Applications
Journal Article
03/2016
In the probabilistic energy forecasting literature, emphasis is mainly placed on deriving marginal predictive densities for which each random variable is dealt... 
Statistics - Applications
Journal Article
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