“…Aly et al [41]; analyzed the solar (CSP and PV) power potential of Tanzania using GIS and AHP tools. Protected areas, land cover, GIS-AHP PV Malatya, Turkey [20] GIS-AHP PV Brazil [21] GIS-AHP Wind farm Iran [22] GIS-AHP Wind, PV and biomass Malaga, Spain [23] GIS-AHP PV-hydrogen Algeria [24] GIS-AHP PV Southern Morocco [25] GIS-AHP PV Istanbul, Turkey [26] GIS-AHP PV and CSP Unit of Rethymno, Greece [27] GIS-AHP PV Croatia [28] GIS-AHP Wind energy Andalusia, Spain [29] GIS-AHP CSP United Arab Emirates [30] GIS-AHP CSP and PV West Africa [31] GIS-Boolean-Fuzzy Logic Model PV Iran [32] GIS-AHP CSP Eastern Morocco [33] GIS-AHP CSP and PV Morocco [34] GIS-Fuzzy AHP Solar farms (PV) Mekkah, Saudi Arabia [35] GIS-AHP Wind energy Nigeria [36] GIS-AHP and Boolan model Landfill Haryana, India [37] GIS-AHP PV Saudi Arabia [38] GIS-AHP PV and Wind Tehran, Iran [39] GIS-AHP PV and Wind Philippines [40] GIS-(AHP, ELECTRE, TOPSIS and VIKOR) PV Anatolian, Turkey [41] GIS-AHP CSP and PV Tanznia [42] GIS-Weighted Linear Combination and AHP Solar farms (PV) Legionowo District Poland [43] GIS-Boolean logic Wind farm Western Iran [44] GIS-AHP/Weighted Linear Combination Wind farm Silesia, Poland [45] GIS-AHP PV Karapinar, Konya/Turkey [46] GIS-AHP PV Southern Morocco [47] GIS-AHP and TOPSIS PV South-eastern Spain topography, water bodies, urban expansion, and low solar radiation were the integrated criteria to find unsuitable areas. AHP method was applied to calculate the importance of each criterion.…”