{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T17:51:33Z","timestamp":1775152293141,"version":"3.50.1"},"reference-count":91,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2024,11,13]],"date-time":"2024-11-13T00:00:00Z","timestamp":1731456000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>Siting an offshore wind project is considered a complex planning problem with multiple interrelated objectives and constraints. Hence, compactness and contiguity are indispensable properties in spatial modeling for Renewable Energy Sources (RES) planning processes. The proposed methodology demonstrates the development of a raster-based spatial optimization model for future Offshore Wind Farm (OWF) multi-objective site-prospecting in terms of the simulated Annual Energy Production (AEP), Wind Power Variability (WPV) and the Depth Profile (DP) towards an integer mathematical programming approach. Geographic Information Systems (GIS), statistical modeling, and spatial optimization techniques are fused as a unified framework that allows exploring rigorously and systematically multiple alternatives for OWF planning. The stochastic generation scheme uses a Generalized Hurst-Kolmogorov (GHK) process embedded in a Symmetric-Moving-Average (SMA) model, which is used for the simulation of a wind process, as extracted from the UERRA (MESCAN-SURFEX) reanalysis data. The generated AEP and WPV, along with the bathymetry raster surfaces, are then transferred into the multi-objective spatial optimization algorithm via the Gurobi optimizer. Using a weighted spatial optimization approach, considering and guaranteeing compactness and continuity of the optimal solutions, the final optimal areas (clusters) are extracted for the North and Central Aegean Sea. The optimal OWF clusters, show increased AEP and minimum WPV, particularly across offshore areas from the North-East Aegean (around Lemnos Island) to the Central Aegean Sea (Cyclades Islands). All areas have a Hurst parameter in the range of 0.55\u20130.63, indicating greater long-term positive autocorrelation in specific areas of the North Aegean Sea.<\/jats:p>","DOI":"10.3390\/ijgi13110409","type":"journal-article","created":{"date-parts":[[2024,11,13]],"date-time":"2024-11-13T06:23:16Z","timestamp":1731478996000},"page":"409","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["A Raster-Based Multi-Objective Spatial Optimization Framework for Offshore Wind Farm Site-Prospecting"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1886-4125","authenticated-orcid":false,"given":"Loukas","family":"Katikas","sequence":"first","affiliation":[{"name":"School of Rural and Surveying Engineering, National and Technical University of Athens, Zografou Campus, 9, Iroon Polytechniou str., 15780 Zografou, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-7585-344X","authenticated-orcid":false,"given":"Themistoklis","family":"Kontos","sequence":"additional","affiliation":[{"name":"Department of Environment, University of the Aegean, University Hill, 81100 Mytilene, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4956-8820","authenticated-orcid":false,"given":"Panayiotis","family":"Dimitriadis","sequence":"additional","affiliation":[{"name":"School of Civil Engineering, National and Technical University of Athens, Zografou Campus, 9, Iroon Polytechniou str., 15780 Zografou, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7563-0793","authenticated-orcid":false,"given":"Marinos","family":"Kavouras","sequence":"additional","affiliation":[{"name":"School of Rural and Surveying Engineering, National and Technical University of Athens, Zografou Campus, 9, Iroon Polytechniou str., 15780 Zografou, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,11,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1114","DOI":"10.1016\/j.rser.2015.04.092","article-title":"Trends of offshore wind projects","volume":"49","author":"Rodrigues","year":"2015","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"4482","DOI":"10.1016\/j.energy.2011.03.071","article-title":"Offshore wind energy potential in China: Under technical, spatial and economic constraints","volume":"36","author":"Hong","year":"2011","journal-title":"Energy"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"511","DOI":"10.1016\/j.enpol.2010.10.031","article-title":"Continuous spatial modelling to analyze planning and economic consequences of offshore wind energy","volume":"39","author":"Moller","year":"2011","journal-title":"J. Energy Policy"},{"key":"ref_4","unstructured":"Gerdes, G., Tiedemann, A., and Zeelenberg, S. (2024, July 24). Case Study: European Offshore Wind Farms\u2014A Survey for the Analysis of the Experiences and Lessons Learnt by Developers of Offshore Wind Farms, Final Report 2010, Deutsche WindGuard GmbH, Deutsche Energie-Agentur GmbH, University of Groningen, Available online: https:\/\/tethys.pnnl.gov\/sites\/default\/files\/publications\/A_Survey_for_the_Analysis_by_Developers_of_Offshore_Wind_Farms.pdf."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/j.enpol.2017.10.049","article-title":"Developing offshore wind farm siting criteria by using an international Delphi method","volume":"113","author":"Ho","year":"2018","journal-title":"Energy Policy"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1109","DOI":"10.1007\/s00477-012-0565-1","article-title":"Forecasting the Energy Produced by a Windmill on a Yearly Basis","volume":"26","author":"Bensoussan","year":"2012","journal-title":"Stoch. Environ. Res. Risk Assess."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.enconman.2010.06.015","article-title":"Probability distributions for offshore wind speeds","volume":"52","author":"Morgan","year":"2011","journal-title":"Energy Convers. Manag."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"6476","DOI":"10.1016\/j.rser.2012.03.073","article-title":"An analysis of wind power density derived from several wind speed density functions: The regional assessment of wind power in Malaysia","volume":"16","author":"Masseran","year":"2012","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Hrafnkelsson, B., Oddsson, G.V., and Unnthorsson, R. (2016). A Method for Estimating Annual Energy Production Using Monte Carlo Wind Speed Simulation. Energies, 9.","DOI":"10.3390\/en9040286"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/j.renene.2014.12.009","article-title":"Effects of different wind data sources in offshore wind power assessment","volume":"77","author":"Soukissian","year":"2015","journal-title":"Renew. Energy"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"2111","DOI":"10.1016\/j.renene.2004.03.011","article-title":"Stochastic generation of hourly mean wind speed data","volume":"29","author":"Aksoy","year":"2004","journal-title":"Renew. Energy"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1109\/TEC.2007.914174","article-title":"MCMC for Wind Power Simulation","volume":"23","author":"Papaefthymiou","year":"2008","journal-title":"IEEE Trans. Energy Convers."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"541","DOI":"10.1016\/j.apenergy.2012.06.044","article-title":"A methodology for the synthetic generation of hourly wind speed time series based on some known aggregate input data","volume":"101","author":"Carapelluci","year":"2013","journal-title":"Appl. Energy"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.energy.2011.08.001","article-title":"Synthetic wind speed scenarios including diurnal effects: Implifications for wind power dimensioning","volume":"37","author":"Suomalainen","year":"2012","journal-title":"Energy"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"557","DOI":"10.1016\/j.energy.2013.12.071","article-title":"A cyclic time-dependent Markov process to model daily patterns in wind turbine power production","volume":"67","author":"Scholz","year":"2014","journal-title":"Energy"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"116873","DOI":"10.1016\/j.apenergy.2021.116873","article-title":"A stochastic simulation scheme for the long-term persistence, heavy-tailed and double periodic behavior of observational and reanalysis wind time-series","volume":"295","author":"Katikas","year":"2021","journal-title":"Appl. Energy"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1016\/j.sbspro.2013.12.830","article-title":"A novel approach to generate synthetic wind data","volume":"108","author":"Naimo","year":"2014","journal-title":"Procedia Soc. Behav. Sci."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"779","DOI":"10.1016\/j.enconman.2019.06.041","article-title":"Wind speed prediction method based on Empirical Wavelet Transform and New Cell Update Long Short-Term Memory network","volume":"196","author":"Pei","year":"2019","journal-title":"Energy Convers. Manag."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1519","DOI":"10.1029\/2000WR900044","article-title":"A generalized mathematical framework for stochastic simulation and forecast of hydrologic time series","volume":"36","author":"Koutsoyiannis","year":"2000","journal-title":"Water Resour. Res."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1080\/02626667.2015.1016950","article-title":"Generic and parsimonious stochastic modelling for hydrology and beyond","volume":"61","author":"Koutsoyiannis","year":"2016","journal-title":"Hydrol. Sci. J."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"536","DOI":"10.1080\/02626667.2019.1705302","article-title":"Simple stochastic simulation of time irreversible and reversible processes","volume":"65","author":"Koutsoyiannis","year":"2020","journal-title":"Hydrol. Sci. J."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"406","DOI":"10.1016\/j.egypro.2015.07.851","article-title":"Application of stochastic methods to double cyclostationary processes for hourly wind speed simulation","volume":"76","author":"Dimitriadis","year":"2015","journal-title":"Energy Procedia"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"278","DOI":"10.1016\/j.egypro.2016.10.001","article-title":"Global investigation of double periodicity of hourly wind speed for stochastic simulation; application in Greece","volume":"97","author":"Deligiannis","year":"2016","journal-title":"Energy Procedia"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1649","DOI":"10.1007\/s00477-015-1023-7","article-title":"Climacogram versus autocovariance and power spectrum in stochastic modelling for Markovian and Hurst\u2013Kolmogorov processes","volume":"29","author":"Dimitriadis","year":"2015","journal-title":"Stoch. Environ. Res. Risk Assess."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1493","DOI":"10.1007\/s00477-018-1540-2","article-title":"Stochastic synthesis approximating any process dependence and distribution","volume":"32","author":"Dimitriadis","year":"2018","journal-title":"Stoch. Environ. Res. Risk Assess."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1244","DOI":"10.1016\/j.renene.2009.11.022","article-title":"California offshore wind potential","volume":"35","author":"Dvorak","year":"2009","journal-title":"Renew. Energy"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/j.ecolecon.2009.07.013","article-title":"Spatial planning of offshore wind farms: A windfall to marine environmental protection?","volume":"69","author":"Punt","year":"2009","journal-title":"Ecol. Econ."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1016\/j.apcbee.2012.03.029","article-title":"Analyzing the economy of offshore wind energy using GIS technique","volume":"1","author":"Abudureyimu","year":"2012","journal-title":"APCBEE Procedia"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"506","DOI":"10.1016\/j.renene.2014.02.024","article-title":"Assessment of offshore wind energy potential using mesoscale model and geographic information system","volume":"69","author":"Yamagutsi","year":"2014","journal-title":"Renew. Energy"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1016\/j.renene.2015.09.021","article-title":"An Offshore Wind Energy Geographic Information System (OWE-GIS) for assessment of the UK\u2019s offshore wind energy potential, Part 1","volume":"87","author":"Cavazzi","year":"2016","journal-title":"Renew. Energy"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"619","DOI":"10.1016\/j.renene.2016.03.083","article-title":"Offshore wind farm site selection study around Jeju Island, South Korea","volume":"94","author":"Kim","year":"2016","journal-title":"J. Renew. Energy"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.energy.2017.07.032","article-title":"Estimation of technical and economic potential of offshore wind along the coast of India","volume":"138","author":"Nagababu","year":"2017","journal-title":"Energy"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/j.renene.2007.03.006","article-title":"Assessing offshore wind resources: An accessible methodology","volume":"33","author":"Dhanju","year":"2008","journal-title":"Renew. Energy"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"541","DOI":"10.1016\/j.enpol.2012.06.056","article-title":"A decision support system for assessing offshore wind energy potential in the North Sea","volume":"49","author":"Schillings","year":"2012","journal-title":"Energy Policy"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"320","DOI":"10.1016\/j.enpol.2014.01.042","article-title":"Identifying space for offshore wind energy in the North Sea. Consequences of scenario calculations for interactions with other marine uses","volume":"68","author":"Jongbloed","year":"2014","journal-title":"Energy Policy"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1016\/j.rser.2014.08.030","article-title":"A web-based participatory GIS (PGIS) for offshore wind farm suitability within Lake Erie, Ohio","volume":"41","author":"Mekonnen","year":"2015","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_37","first-page":"167","article-title":"Methodology to design an economic and strategic offshore wind energy Roadmap in Portugal","volume":"10","author":"Garcia","year":"2013","journal-title":"Energy Procedia"},{"key":"ref_38","unstructured":"Beccali, M., Galletto, J., and Noto, L. (2015, January 22\u201325). Assessment of the technical and economic potential of offshore wind energy via a GIS application. Proceedings of the 4th International Conference on Renewable Energy Research and Applications, Palermo, Italy."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"278","DOI":"10.1016\/j.renene.2017.11.021","article-title":"Multi-criteria decision analysis for offshore wind energy potential in Egypt","volume":"118","author":"Mahdy","year":"2018","journal-title":"Renew. Energy"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"745","DOI":"10.1016\/j.rser.2017.01.161","article-title":"GIS-based multi-criteria decision analysis for site selection of hybrid offshore wind and wave energy systems in Greece","volume":"73","author":"Vasileiou","year":"2017","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"749","DOI":"10.3390\/su10030749","article-title":"Sustainable Site Selection for Offshore Wind Farms in South Aegean-Greece","volume":"10","author":"Vagiona","year":"2018","journal-title":"Sustainability"},{"key":"ref_42","unstructured":"Katikas, L. (2022). Spatial Decision Support System for Offshore Wind Farm Siting Using Geographic Information Systems, Spatial Analysis and Optimization. [Ph.D. Thesis, National Technical University of Athens]."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"662","DOI":"10.3390\/ijgi3020662","article-title":"GIS-Based Planning and Modelling for Renewable Energy: Challenges and Future Research Avenues","volume":"3","author":"Resch","year":"2014","journal-title":"ISPRS Int. J. Geo Inf."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1186\/s13705-018-0174-z","article-title":"Spatiotemporal modelling for integrated spatial and energy planning","volume":"8","author":"Camargo","year":"2018","journal-title":"Energy Sustain. Soc."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1007\/s10479-015-1828-2","article-title":"An extended goal programming model for site selection in the offshore wind farm sector","volume":"245","author":"Jones","year":"2016","journal-title":"Ann. Oper. Res."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"S302","DOI":"10.1016\/j.cap.2009.11.031","article-title":"Numerical optimization of site selection for offshore wind turbine installation using genetic algorithm","volume":"10","author":"Lee","year":"2010","journal-title":"Curr. Appl. Phys."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"122346","DOI":"10.1016\/j.apenergy.2023.122346","article-title":"Multi-objective turbine allocation on a wind farm site","volume":"355","author":"Demir","year":"2024","journal-title":"Appl. Energy"},{"key":"ref_48","unstructured":"K\u00e1tic, I., H\u00f8jstrup, J., and Jensen, N.O. (1986, January 6\u20138). A simple model for cluster efficiency. Proceedings of the European Wind Energy Association Conference and Exhibition, Rome, Italy."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/0167-6105(94)90080-9","article-title":"Optimization of wind turbine positioning in large windfarms by means of a genetic algorithm","volume":"51","author":"Mosetti","year":"1994","journal-title":"J. Wind. Eng. Ind. Aerodyn."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1016\/j.renene.2012.12.007","article-title":"Offshore wind farm layout optimization using mathematical programming techniques","volume":"53","author":"Minguez","year":"2013","journal-title":"Renew. Energy"},{"key":"ref_51","first-page":"23","article-title":"Offshore Wind Farm Layout Optimization\u2014State of the Art","volume":"1","author":"Valverde","year":"2014","journal-title":"J. Ocean Wind Energy"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"975","DOI":"10.1007\/s40565-019-0550-5","article-title":"A review of offshore wind farm layout optimization and electrical system design methods","volume":"7","author":"Hou","year":"2019","journal-title":"J. Mod. Power Syst. Clean Energy"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"689","DOI":"10.1016\/S0167-6105(01)00066-6","article-title":"Combined technical an economic evaluation of Northern European offshore wind resource","volume":"89","author":"Cockerill","year":"2001","journal-title":"J. Wind Eng. Ind. Aerodyn."},{"key":"ref_54","unstructured":"Herman, S.A. (2002). Probabilistic cost model for analysis of offshore wind energy costs and potential. Environ. Sci., Available online: https:\/\/publications.tno.nl\/publication\/34629697\/9D7lB0\/i02007.pdf."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1260\/030952408784305877","article-title":"Algorithms for Offshore Wind Farm Layout Optimization","volume":"32","author":"Elkinton","year":"2008","journal-title":"Wind Eng."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1007\/s40722-017-0092-8","article-title":"A multi-objective optimization approach applied to offshore wind farm location selection","volume":"3","author":"Mytilinou","year":"2017","journal-title":"Ocean Eng. Mar. Energy"},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Polykarpou, M., Karathanasi, F., Soukissian, T., Loukaidi, V., and Kyriakides, I. (2023). A Novel Data-Driven Tool Based on Non-Linear Optimization for Offshore Wind Farm Siting. Energies, 16.","DOI":"10.3390\/en16052235"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1080\/0964056042000308184","article-title":"Evaluating Spatial Design Techniques for Solving Land-use Allocation Problems","volume":"48","author":"Aerts","year":"2005","journal-title":"J. Environ. Plan. Manag."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"601","DOI":"10.1080\/13658810701587495","article-title":"Spatial optimization as a generative technique for sustainable multiobjective land-use allocation","volume":"22","author":"Church","year":"2008","journal-title":"Int. J. Geogr. Inf. Sci."},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Taniar, D., Gervasi, O., Murgante, B., Pardede, E., and Apduhan, B.O. (2010, January 23\u201326). Compactness in Spatial Decision Support: A Literature Review. Proceedings of the Computational Science and Its Applications\u2014ICCSA 2010, Part I, LNCS 6016, Fukuoka, Japan.","DOI":"10.1007\/978-3-642-12189-0"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1016\/j.compenvurbsys.2011.08.001","article-title":"Sustainable land use optimization using Boundary-based Fast Genetic Algorithm","volume":"36","author":"Cao","year":"2012","journal-title":"J. Comput. Environ. Urban Syst."},{"key":"ref_62","first-page":"em0074","article-title":"Delimiting Future Urban Sprawl Boundaries Using a GIS-based Model for Ecological Sensitivity Index Assessment and Optimization Techniques. The Case of Mytilene (Lesvos Island, Greece)","volume":"3","author":"Kontos","year":"2018","journal-title":"Eur. J. Sustain. Dev. Res."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1016\/j.cageo.2007.03.014","article-title":"Algorithm based on simulated annealing for land-use allocation","volume":"34","year":"2008","journal-title":"J. Comput. Geosci."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"607","DOI":"10.1068\/b230607","article-title":"A 0-1 programming approach to delineating protected reserves","volume":"23","author":"Williams","year":"1996","journal-title":"J. Environ. Plan. B Plan. Des."},{"key":"ref_65","first-page":"553","article-title":"Comparison of Spatial Compactness Evaluation methods for Simple Genetic Algorithm based Land Use Planning Optimization problem, The International Archives of the Photogrammetry","volume":"38","author":"Cao","year":"2010","journal-title":"J. Remote Sens. Spat. Inf. Sci."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1080\/10286608.2012.709504","article-title":"Parallelized branch-and-bound algorithm for raster-based landfill siting","volume":"30","author":"Liu","year":"2013","journal-title":"J. Civ. Eng. Environ. Syst."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.ecolmodel.2016.02.005","article-title":"Solving conservation planning problems with integer linear programming","volume":"328","author":"Beyer","year":"2016","journal-title":"J. Ecol. Model."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"579","DOI":"10.1177\/0160017617728551","article-title":"Spatial optimization for land-use allocation: Accounting for sustainability concerns","volume":"41","author":"Yao","year":"2017","journal-title":"Int. Reg. Sci. Rev."},{"key":"ref_69","first-page":"330","article-title":"A zero-one programming model for contiguous land acquisition","volume":"34","author":"Williams","year":"2002","journal-title":"Geogr. Anal."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1007\/s10666-015-9465-3","article-title":"Designing connected and compact natural reserves","volume":"21","author":"Billionnet","year":"2016","journal-title":"Environ. Model. Assess."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"902","DOI":"10.1061\/(ASCE)0733-9372(1996)122:10(902)","article-title":"Multifactor Spatial Analysis for Landfill Siting","volume":"122","author":"Kao","year":"1996","journal-title":"J. Environ. Eng."},{"key":"ref_72","first-page":"376","article-title":"Spatial Aggregation and Compactness of Census Areas with a Multiobjective Genetic Algorithm: A Case Study in Canada","volume":"39","author":"Datta","year":"2012","journal-title":"Environ. Plan. B Urban Anal. City Sci."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1111\/j.1538-4632.2005.00605.x","article-title":"A model of contiguity for spatial unit allocation","volume":"37","author":"Shirable","year":"2004","journal-title":"Geogr. Anal."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1016\/j.seps.2005.02.001","article-title":"A multi-objective approach to smart growth in land development","volume":"40","author":"Gabriel","year":"2006","journal-title":"J. Socio-Econ. Plan. Sci."},{"key":"ref_75","doi-asserted-by":"crossref","unstructured":"Soukissian, T., Hatzinaki, M., Korres, G., Papadopoulos, A., Kallos, G., and Anadranistakis, E. (2007). Wind and Wave Atlas of the Hellenic Seas, Hellenic Centre for Marine Research Publication. Available online: https:\/\/www.bodc.ac.uk\/resources\/inventories\/edmed\/report\/1394\/.","DOI":"10.1115\/OMAE2008-57082"},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"1","DOI":"10.2174\/1874835X00801010001","article-title":"Assessment of the wind and wave climate of the Hellenic seas using 10-Year hindcast results","volume":"1","author":"Soukissian","year":"2008","journal-title":"Open Ocean. Eng. J."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"479","DOI":"10.1016\/j.rser.2013.10.016","article-title":"High-Resolution model-based wind atlas for Greece, Institute for Environmental Research","volume":"30","author":"Kotroni","year":"2014","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"1613","DOI":"10.5194\/essd-10-1613-2018","article-title":"A rescued dataset of sub-daily meteorological observations for Europe and the southern Mediterranean region, 1877\u20132012","volume":"10","author":"Ashcroft","year":"2018","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_79","unstructured":"Bazile, E., Abida, R., Verelle, A., Le Moigne, P., and Szczypta, C. (2024, July 26). MESCAN-SURFEX Surface Analysis, Deliverable D2.8 of the UERRA Project. Available online: https:\/\/uerra.eu\/publications\/deliverable-reports.html."},{"key":"ref_80","unstructured":"Tsonis, A. (2018). From Fractals to Stochastics: Seeking Theoritical Consistency in Analysis of Geophysical Data, In Advances in Nonlinear Geosciences, Springer."},{"key":"ref_81","doi-asserted-by":"crossref","unstructured":"Yao, J., Miao, Y., Kumara, P.B.T.P., Arulananthan, K., Zhang, Z., and Zhou, W. (2024). Analysis of Wind Energy Potential in Sri Lankan Waters Based on ERA5 (ECMWF Reanalysis v5) and CCMP (Cross-Calibrated Multi-Platform). J. Mar. Sci. Eng., 12.","DOI":"10.3390\/jmse12060876"},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"114092","DOI":"10.1016\/j.enconman.2021.114092","article-title":"Exploiting offshore wind and solar resources in the Mediterranean using ERA5 reanalysis data","volume":"237","author":"Soukissian","year":"2021","journal-title":"Energy Convers. Manag."},{"key":"ref_83","first-page":"5168","article-title":"A new multi-objective self-organizing optimization algorithm (MOSOA) for spatial optimization problems","volume":"218","author":"Fotakis","year":"2012","journal-title":"Appl. Math. Comput."},{"key":"ref_84","first-page":"1227","article-title":"An efficient measure of compactness for two-dimensional shapes and its application in regionalization problems","volume":"27","author":"Wenwen","year":"2017","journal-title":"Int. J. Geogr. Inf. Sci."},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"853","DOI":"10.1007\/s00158-009-0460-7","article-title":"The weighted sum method for multi-objective optimization: New insights","volume":"41","author":"Marler","year":"2010","journal-title":"Struct. Multidiscip. Optim."},{"key":"ref_86","first-page":"89","article-title":"A cutting-plane method for contiguity-constrained spatial aggregation","volume":"15","author":"Oehrlein","year":"2017","journal-title":"J. Spat. Inf. Sci."},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"306","DOI":"10.1111\/j.1538-4632.2000.tb00430.x","article-title":"Contiguity constraints for single-region site search problems","volume":"32","author":"Cova","year":"2000","journal-title":"Geogr. Anal."},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"117231","DOI":"10.1016\/j.enconman.2023.117231","article-title":"Climate-change impacts on offshore wind resources in the Mediterranean Sea","volume":"291","author":"Martinez","year":"2023","journal-title":"Energy Convers. Manag."},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1007\/s10113-018-1379-6","article-title":"Changes in offshore wind power potential over the Mediterranean Sea using CORDEX projections","volume":"19","author":"Alvarez","year":"2019","journal-title":"Reg. Environ. Chang."},{"key":"ref_90","unstructured":"Langreder, W., and Jogararu, M. (September, January 30). Uncertainty of Vertical Wind Speed Extrapolation. Proceedings of the Brazil Windpower 2016 Conference and Exhibition SulAmerica Convention Center, Rio de Janeiro, Brazil."},{"key":"ref_91","doi-asserted-by":"crossref","unstructured":"Ridal, M., Bazile, E., Le Moigne, P., Randriamampianina, R., Schimanke, S., Andrae, U., Berggren, L., Brousseau, P., Dahlgren, P., and Edvinsson, L. (2024). CERRA, the Copernicus European Regional Reanalysis system. Q. J. R. Meteorol. Soc., 1\u201327.","DOI":"10.1002\/qj.4764"}],"container-title":["ISPRS International Journal of Geo-Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2220-9964\/13\/11\/409\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T16:31:19Z","timestamp":1760113879000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2220-9964\/13\/11\/409"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,13]]},"references-count":91,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2024,11]]}},"alternative-id":["ijgi13110409"],"URL":"https:\/\/doi.org\/10.3390\/ijgi13110409","relation":{},"ISSN":["2220-9964"],"issn-type":[{"value":"2220-9964","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11,13]]}}}