-
3
-
-
79958761637
-
Equilateral-triangle mesh for optimal micrositing of wind farms
-
In: 14th WSEAS international conference on computers, Corfu, Greece
-
Li X, Wang J, Zhang X. Equilateral-triangle mesh for optimal micrositing of wind farms. In: 14th WSEAS international conference on computers, Corfu, Greece, p. 187-95; 2010.
-
(2010)
, pp. 187-95
-
-
Li, X.1
Wang, J.2
Zhang, X.3
-
4
-
-
34548147735
-
An evolutive algorithm for wind farm optimal design
-
Mora J.C., Barón J.M.C., Santos J.M.R., Payán M.B. An evolutive algorithm for wind farm optimal design. Neurocomputing 2007, 70:2651-2658.
-
(2007)
Neurocomputing
, vol.70
, pp. 2651-2658
-
-
Mora, J.C.1
Barón, J.M.C.2
Santos, J.M.R.3
Payán, M.B.4
-
5
-
-
80055024756
-
Optimal siting of wind turbines using real-coded genetic algorithms
-
In: European wind energy association conference and exhibition, Marseille, France;
-
Wan C, Wang J, Yang G, Zhang X. Optimal siting of wind turbines using real-coded genetic algorithms. In: European wind energy association conference and exhibition, Marseille, France; 2009.
-
(2009)
-
-
Wan, C.1
Wang, J.2
Yang, G.3
Zhang, X.4
-
6
-
-
77954630943
-
Optimal micro-siting of wind farms by particle swarm optimization
-
First International Conference, Beijing, China
-
Wan C., Wang J., Yang G., Zhang X. Optimal micro-siting of wind farms by particle swarm optimization. Advances in swarm intelligence 2010, First International Conference, Beijing, China, p. 198-205.
-
(2010)
Advances in swarm intelligence
, pp. 198-205
-
-
Wan, C.1
Wang, J.2
Yang, G.3
Zhang, X.4
-
7
-
-
40949126996
-
Optimal placement of wind turbines in a wind park using Monte Carlo simulation
-
Marmidis G., Lazarou S., Pyrgioti E. Optimal placement of wind turbines in a wind park using Monte Carlo simulation. Renewable Energy 2008, 33:1455-1460.
-
(2008)
Renewable Energy
, vol.33
, pp. 1455-1460
-
-
Marmidis, G.1
Lazarou, S.2
Pyrgioti, E.3
-
8
-
-
1842832191
-
Heuristic methods for wind energy conversion system positioning
-
Ozturk U.A., Norman B.A. Heuristic methods for wind energy conversion system positioning. Electric Power Systems Research 2004, 70:179-185.
-
(2004)
Electric Power Systems Research
, vol.70
, pp. 179-185
-
-
Ozturk, U.A.1
Norman, B.A.2
-
9
-
-
70349454007
-
Solving the turbine positioning problem for large offshore wind farms by simulated annealing
-
Rivas R.A., Clausen J., Hansen K.S., Jensen L.E. Solving the turbine positioning problem for large offshore wind farms by simulated annealing. Wind Engineering 2009, 33:287-298.
-
(2009)
Wind Engineering
, vol.33
, pp. 287-298
-
-
Rivas, R.A.1
Clausen, J.2
Hansen, K.S.3
Jensen, L.E.4
-
10
-
-
79957805819
-
A fast algorithm based on the submodular property for optimization of wind turbine positioning
-
Zhang C., Hou G., Wang J. A fast algorithm based on the submodular property for optimization of wind turbine positioning. Renewable Energy 2011, 36:2951-2958.
-
(2011)
Renewable Energy
, vol.36
, pp. 2951-2958
-
-
Zhang, C.1
Hou, G.2
Wang, J.3
-
11
-
-
79957861447
-
Seeding evolutionary algorithms with heuristics for optimal wind turbines positioning in wind farms
-
Saavedra-Moreno B., Salcedo-Sanz S., Paniagua-Tineo A., Prieto L., Portilla-Figueras A. Seeding evolutionary algorithms with heuristics for optimal wind turbines positioning in wind farms. Renewable Energy 2011, 36:2838-2844.
-
(2011)
Renewable Energy
, vol.36
, pp. 2838-2844
-
-
Saavedra-Moreno, B.1
Salcedo-Sanz, S.2
Paniagua-Tineo, A.3
Prieto, L.4
Portilla-Figueras, A.5
-
13
-
-
85040880803
-
A simple model for cluster efficiency
-
In: European wind energy association conference and exhibition, Rome, Italy
-
Katic I, Højstrup J, Jensen NO. A simple model for cluster efficiency. In: European wind energy association conference and exhibition, Rome, Italy, p. 407-10; 1986.
-
(1986)
-
-
Katic, I.1
Højstrup, J.2
Jensen, N.O.3
-
14
-
-
84155165544
-
Wake flow model of wind turbine using particle simulation
-
Song M.X., Chen K., He Z.Y., Zhang X. Wake flow model of wind turbine using particle simulation. Renewable Energy 2012, 41:185-190.
-
(2012)
Renewable Energy
, vol.41
, pp. 185-190
-
-
Song, M.X.1
Chen, K.2
He, Z.Y.3
Zhang, X.4
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