The　cost　of　grid　energy　of　cloud　providers　rises　greatly　due　to　the　growing　number　of　Internet　services.　Therefore,　researches　on　energy-efficient　cloud　data　centers　(ECDCs)　are　increasingly　focused　on　the　effective　use　of　renewable　energy　instead　of　brown　energy　for　environmental　protection.　Because　of　the　temporal　difference　in　price　of　grid,　solar　irradiance　and　wind　speed,　it　is　difficult　to　satisfy　the　performance　of　each　delay　bounded　request　with　lower　grid　energy　cost　of　an　ECDC.　In　this　work,　a　temporal　request　scheduling　(TRS)　algorithm　is　proposed　for　the　temporal　diversity　with　strict　delay　assurance　to　schedule　the　appropriate　execution　of　all　arriving　requests.　In　addition,　a　mathematical　model　is　presented　to　describe　the　relation　between　ECDC＇s　service　rate　and　request　refusal.　The　formulated　nonlinear　optimization　problem　is　solved　by　a　hybrid　meta-heuristic　algorithm.　Experimental　results　demonstrate　that　TRS　can　realize　less　cost　of　grid　energy　and　higher　throughput　for　an　ECDC　while　satisfying　requests＇　delay　requirement　than　three　representative　scheduling　methods.　©　2017　IEEE.