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Volumn 88, Issue 11, 2011, Pages 4078-4086

Development of a feasibility prediction tool for solar power plant installation analyses

Author keywords

Feasibility prediction; Hierarchical clustering; Solar energy; Solar power plant

Indexed keywords

CLUSTERING ALGORITHMS; COST BENEFIT ANALYSIS; MAINTENANCE; MULTI AGENT SYSTEMS; SOLAR POWER PLANTS; SOLAR RADIATION;

EID: 79959820280     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2011.04.047     Document Type: Article
Times cited : (12)

References (44)
  • 1
    • 79959833496 scopus 로고    scopus 로고
    • Technology roadmap-solar photovoltaic energy. International energy agency report. Paris/France;
    • Tanaka N. Technology roadmap-solar photovoltaic energy. International energy agency report. Paris/France; 2010.
    • (2010)
    • Tanaka, N.1
  • 2
    • 54149116254 scopus 로고    scopus 로고
    • Recommendation on modelling of solar energy incident on a building envelope
    • Chwieduk D.A. Recommendation on modelling of solar energy incident on a building envelope. Renew Energy 2009, 34:736-741.
    • (2009) Renew Energy , vol.34 , pp. 736-741
    • Chwieduk, D.A.1
  • 3
    • 77951025314 scopus 로고    scopus 로고
    • Feasibility of the green energy production by hybrid solar+hydro power system in Europe and similar climate areas
    • Margeta J., Zvonimir G. Feasibility of the green energy production by hybrid solar+hydro power system in Europe and similar climate areas. Renew Sust Energy Rev 2010, 14:1580-1590.
    • (2010) Renew Sust Energy Rev , vol.14 , pp. 1580-1590
    • Margeta, J.1    Zvonimir, G.2
  • 5
    • 65549112586 scopus 로고    scopus 로고
    • A system design approach for unattended solar energy harvesting supply
    • Kimball J.W., Kuhn B., Balog R.S. A system design approach for unattended solar energy harvesting supply. IEEE Trans Power Electron 2009, 24:952-962.
    • (2009) IEEE Trans Power Electron , vol.24 , pp. 952-962
    • Kimball, J.W.1    Kuhn, B.2    Balog, R.S.3
  • 6
    • 29244461406 scopus 로고    scopus 로고
    • Solar photovoltaic (PV) energy; latest developments in the building integrated and hybrid PV systems
    • Zahedi A. Solar photovoltaic (PV) energy; latest developments in the building integrated and hybrid PV systems. Renew Energy 2006, 31:711-718.
    • (2006) Renew Energy , vol.31 , pp. 711-718
    • Zahedi, A.1
  • 7
  • 8
    • 33947410775 scopus 로고    scopus 로고
    • New maximum power point tracker for pv arrays using fuzzy controller in close cooperation with fuzzy cognitive networks
    • Kottas T.L., Boutalis Y.S., Karlis A.D. New maximum power point tracker for pv arrays using fuzzy controller in close cooperation with fuzzy cognitive networks. IEEE Trans Energy Convers 2006, 21:793-803.
    • (2006) IEEE Trans Energy Convers , vol.21 , pp. 793-803
    • Kottas, T.L.1    Boutalis, Y.S.2    Karlis, A.D.3
  • 10
    • 70350708025 scopus 로고    scopus 로고
    • Dual-inverter-based MPPT algorithm for grid-connected photovoltaic systems
    • International conference on clean electrical power;
    • Grandi G, Ostojic D. Dual-inverter-based MPPT algorithm for grid-connected photovoltaic systems. In: International conference on clean electrical power; 2009. p. 393-8.
    • (2009)
    • Grandi, G.1    Ostojic, D.2
  • 11
    • 77950691608 scopus 로고    scopus 로고
    • A novel sensorless MPPT controller for a high-efficiency microscale wind power generation system
    • Pan C., Juan Y. A novel sensorless MPPT controller for a high-efficiency microscale wind power generation system. IEEE Trans Energy Convers 2010, 25:207-216.
    • (2010) IEEE Trans Energy Convers , vol.25 , pp. 207-216
    • Pan, C.1    Juan, Y.2
  • 12
    • 85008035909 scopus 로고    scopus 로고
    • Multilevel inverter for grid-connected PV system employing digital PI controller
    • Selvaraj J., Rahim N.A. Multilevel inverter for grid-connected PV system employing digital PI controller. IEEE Trans Ind Electron 2009, 56:149-158.
    • (2009) IEEE Trans Ind Electron , vol.56 , pp. 149-158
    • Selvaraj, J.1    Rahim, N.A.2
  • 13
    • 33747585369 scopus 로고    scopus 로고
    • New maximum power point tracker using sliding-mode observer for estimation of solar array current in the grid-connected photovoltaic system
    • Kim I.S., Kim M.B., Youn M.J. New maximum power point tracker using sliding-mode observer for estimation of solar array current in the grid-connected photovoltaic system. IEEE Trans Ind Electron 2006, 53:1048-1054.
    • (2006) IEEE Trans Ind Electron , vol.53 , pp. 1048-1054
    • Kim, I.S.1    Kim, M.B.2    Youn, M.J.3
  • 17
  • 18
    • 84873543378 scopus 로고    scopus 로고
    • Inferring efficient hierarchical taxonomies for MIR tasks: application to musical instruments
    • 6th International conference on music information retrieval (ISMIR'05);
    • Essid S, Richard G, David B. Inferring efficient hierarchical taxonomies for MIR tasks: application to musical instruments. In: 6th International conference on music information retrieval (ISMIR'05); 2005. p. 324-8.
    • (2005) , pp. 324-328
    • Essid, S.1    Richard, G.2    David, B.3
  • 19
    • 79953842585 scopus 로고    scopus 로고
    • Hierarchical shot clustering for video summarization
    • European interactive television (EuroITV'09). The seventh european conference on;
    • Choi YS, Kim JS, Lee S. Hierarchical shot clustering for video summarization. In: European interactive television (EuroITV'09). The seventh european conference on; 2009. p. 1100-7.
    • (2009)
    • Choi, Y.S.1    Kim, J.S.2    Lee, S.3
  • 21
    • 72949093336 scopus 로고    scopus 로고
    • Using hierarchical agglomerative clustering in wireless sensor networks: an energy-efficient and flexible approach
    • Lung C.H., Zhou C. Using hierarchical agglomerative clustering in wireless sensor networks: an energy-efficient and flexible approach. Ad Hoc Networks 2010, 8:328-344.
    • (2010) Ad Hoc Networks , vol.8 , pp. 328-344
    • Lung, C.H.1    Zhou, C.2
  • 22
    • 33746360233 scopus 로고    scopus 로고
    • Classifying airborne radiometry data with agglomerative hierarchical clustering: a tool for geological mapping in context of rainforest (French Guiana)
    • Martelet G., Truffert C., Tourliere B., Ledru P., Perrin J. Classifying airborne radiometry data with agglomerative hierarchical clustering: a tool for geological mapping in context of rainforest (French Guiana). Int J Appl Earth Obs Geoinf 2006, 8:208-223.
    • (2006) Int J Appl Earth Obs Geoinf , vol.8 , pp. 208-223
    • Martelet, G.1    Truffert, C.2    Tourliere, B.3    Ledru, P.4    Perrin, J.5
  • 23
    • 77249134035 scopus 로고    scopus 로고
    • Dynamic hierarchical algorithms for document clustering
    • Gil-Garcia R., Porrata A.P. Dynamic hierarchical algorithms for document clustering. Pattern Recognit Lett 2010, 31:469-477.
    • (2010) Pattern Recognit Lett , vol.31 , pp. 469-477
    • Gil-Garcia, R.1    Porrata, A.P.2
  • 24
    • 76849100191 scopus 로고    scopus 로고
    • A novel hierarchical-clustering-combination scheme based on fuzzy-similarity relations
    • Mirzaei A., Rahmati M. A novel hierarchical-clustering-combination scheme based on fuzzy-similarity relations. IEEE Trans Fuzzy Syst 2010, 18:27-39.
    • (2010) IEEE Trans Fuzzy Syst , vol.18 , pp. 27-39
    • Mirzaei, A.1    Rahmati, M.2
  • 25
    • 78149489435 scopus 로고    scopus 로고
    • A novel multi-view agglomerative clustering algorithm based on ensemble of partitions on different views
    • nternational conference on pattern recognition on;
    • Mirzaei H. A novel multi-view agglomerative clustering algorithm based on ensemble of partitions on different views. In: International conference on pattern recognition on; 2010. p. 1007-10.
    • (2010) , pp. 1007-1010
    • Mirzaei, H.1
  • 26
    • 50049106015 scopus 로고    scopus 로고
    • Improving density-based methods for hierarchical clustering of web pages
    • Chehreghani M.H., Abolhassani H., Chehreghani M.H. Improving density-based methods for hierarchical clustering of web pages. Data Knowl Eng 2008, 67:30-50.
    • (2008) Data Knowl Eng , vol.67 , pp. 30-50
    • Chehreghani, M.H.1    Abolhassani, H.2    Chehreghani, M.H.3
  • 27
    • 24044537630 scopus 로고    scopus 로고
    • Hierarchical clustering algorithms for document datasets
    • Zhao Y., Karypis G. Hierarchical clustering algorithms for document datasets. Data Min Knowl Discovery 2005, 10:141-168.
    • (2005) Data Min Knowl Discovery , vol.10 , pp. 141-168
    • Zhao, Y.1    Karypis, G.2
  • 28
    • 34248206790 scopus 로고    scopus 로고
    • A new algorithm for clustering search results
    • Mecca G., Raunich S., Pappalardo A. A new algorithm for clustering search results. Data Knowl Eng 2007, 62:504-522.
    • (2007) Data Knowl Eng , vol.62 , pp. 504-522
    • Mecca, G.1    Raunich, S.2    Pappalardo, A.3
  • 29
    • 30744477944 scopus 로고    scopus 로고
    • Evolutionary fuzzy clustering algorithm with knowledge-based evaluation and applications for gene expression profiling
    • Park H.S., Yoo S.H., Cho S.B. Evolutionary fuzzy clustering algorithm with knowledge-based evaluation and applications for gene expression profiling. J Comput Theor Nanosci 2005, 2:1-10.
    • (2005) J Comput Theor Nanosci , vol.2 , pp. 1-10
    • Park, H.S.1    Yoo, S.H.2    Cho, S.B.3
  • 30
    • 45449096268 scopus 로고    scopus 로고
    • A hierarchical clustering algorithm based on the Hungarian method
    • Goldberger J., Tassa T. A hierarchical clustering algorithm based on the Hungarian method. Pattern Recognit Lett 2008, 29:1632-1638.
    • (2008) Pattern Recognit Lett , vol.29 , pp. 1632-1638
    • Goldberger, J.1    Tassa, T.2
  • 31
    • 54149110093 scopus 로고    scopus 로고
    • Models for monitoring wind farm power
    • Kusiak A., Zheng H., Song Z. Models for monitoring wind farm power. Renew Energy 2009, 34:583-590.
    • (2009) Renew Energy , vol.34 , pp. 583-590
    • Kusiak, A.1    Zheng, H.2    Song, Z.3
  • 32
    • 33746829948 scopus 로고    scopus 로고
    • Comparing SOM neural network with Fuzzy c-means, K-means and traditional hierarchical clustering algorithms
    • Mingoti S., Lima J.O. Comparing SOM neural network with Fuzzy c-means, K-means and traditional hierarchical clustering algorithms. Eur J Oper Res 2006, 174:1742-1759.
    • (2006) Eur J Oper Res , vol.174 , pp. 1742-1759
    • Mingoti, S.1    Lima, J.O.2
  • 33
    • 33646546673 scopus 로고    scopus 로고
    • A hierarchical clustering algorithm based on fuzzy graph connectedness
    • Dong Y., Zhuang Y., Chen K., Tai X. A hierarchical clustering algorithm based on fuzzy graph connectedness. Fuzzy Set Syst 2006, 157:1760-1774.
    • (2006) Fuzzy Set Syst , vol.157 , pp. 1760-1774
    • Dong, Y.1    Zhuang, Y.2    Chen, K.3    Tai, X.4
  • 34
    • 67349165851 scopus 로고    scopus 로고
    • Towards understanding hierarchical clustering: a data distribution perspective
    • Wu J., Xiong H., Chen J. Towards understanding hierarchical clustering: a data distribution perspective. Neurocomputing 2009, 72:2319-2330.
    • (2009) Neurocomputing , vol.72 , pp. 2319-2330
    • Wu, J.1    Xiong, H.2    Chen, J.3
  • 35
    • 75749083216 scopus 로고    scopus 로고
    • Neural spike sorting using mathematical morphology, multiwavelets transform and hierarchical clustering
    • Geng X., Hua G., Tian X. Neural spike sorting using mathematical morphology, multiwavelets transform and hierarchical clustering. Neurocomputing 2010, 73:707-715.
    • (2010) Neurocomputing , vol.73 , pp. 707-715
    • Geng, X.1    Hua, G.2    Tian, X.3
  • 36
    • 34248551279 scopus 로고    scopus 로고
    • Improving hierarchical cluster analysis: a new method with outlier detection and automatic clustering
    • Almeida J.A.S., Barbosa L.M.S., Pais A.A.C.C., Formosinho S.J. Improving hierarchical cluster analysis: a new method with outlier detection and automatic clustering. Chemom Intell Lab Syst 2007, 87:208-217.
    • (2007) Chemom Intell Lab Syst , vol.87 , pp. 208-217
    • Almeida, J.A.S.1    Barbosa, L.M.S.2    Pais, A.A.C.C.3    Formosinho, S.J.4
  • 37
    • 34447501949 scopus 로고    scopus 로고
    • Hierarchical clustering of mixed data based on distance hierarchy
    • Hsu C.C., Chen C.L., Su Y.W. Hierarchical clustering of mixed data based on distance hierarchy. Inf Sci 2007, 177:4474-4492.
    • (2007) Inf Sci , vol.177 , pp. 4474-4492
    • Hsu, C.C.1    Chen, C.L.2    Su, Y.W.3
  • 39
    • 0009245040 scopus 로고
    • Euclidean distance geometry
    • Gower J.C. Euclidean distance geometry. Math Scientist 1982, 7:1-14.
    • (1982) Math Scientist , vol.7 , pp. 1-14
    • Gower, J.C.1
  • 40
    • 84949479246 scopus 로고    scopus 로고
    • On the surprising behavior of distance metrics in high dimensional space
    • Aggarwal C.C., Hinneburg A., Keim D.A. On the surprising behavior of distance metrics in high dimensional space. Lect Notes Comput Sci 2001, 1973:420-434.
    • (2001) Lect Notes Comput Sci , vol.1973 , pp. 420-434
    • Aggarwal, C.C.1    Hinneburg, A.2    Keim, D.A.3
  • 41
    • 76349125336 scopus 로고    scopus 로고
    • The effect of distance metrics on boosting with dynamic weighting schemes
    • 6th International conference on fuzzy systems and knowledge discovery;
    • Yang X, Yuan B, Liu W. The effect of distance metrics on boosting with dynamic weighting schemes. In: 6th International conference on fuzzy systems and knowledge discovery; 2009. p. 320-4.
    • (2009) , pp. 320-324
    • Yang, X.1    Yuan, B.2    Liu, W.3
  • 42
    • 77649340416 scopus 로고    scopus 로고
    • Using the OWA operator in the Minkowski distance
    • Merigó J., Gil-Lafuente A. Using the OWA operator in the Minkowski distance. Int J Comput Sci 2008, 3:149-157.
    • (2008) Int J Comput Sci , vol.3 , pp. 149-157
    • Merigó, J.1    Gil-Lafuente, A.2
  • 43
    • 85020949787 scopus 로고    scopus 로고
    • Sutron technology. Radiant exposure conversion table. [accessed 14.12.10].
    • Sutron technology. Radiant exposure conversion table. [accessed 14.12.10]. http://www.sutron.com/pdfs/RadiantExposure_Irridance_Temperature.pdf.
  • 44
    • 84881374084 scopus 로고    scopus 로고
    • Solar energy potential atlas. General directorate of electrical power resources survey and development administration of Turkey. [accessed 14.12.10].
    • Solar energy potential atlas. General directorate of electrical power resources survey and development administration of Turkey. [accessed 14.12.10]. http://www.eie.gov.tr/turkce/YEK/GEPA/Default.aspx.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.