With　the　global　energy　crisis　and　environmental　degradation　getting　more　rigorous,　an　essential　approach　is　required　to　attain　introverted　development　through　structural　optimization,　autonomous　invention,　and　technological　innovation　system.　It　is　an　important　way　to　include　energy　conservation,　emission　reductions,　and　the　implementation　of　a　low-carbon　mode　in　the　power　industry,　which　is　a　highly　polluting　sector　of　the　national　economy.　This　article　is　based　on　the　State　Intellectual　Property　Office　of　China＇s　patent　search　and　analysis　database.　We　choose　the　number　of　green　patents　jointly　submitted　for　innovative　topics　in　the　power　industry　from　2016　to　2020.　The　negative　binomial　regression　is　constructed　from　the　standpoint　of　multidimensional　closeness　by　employing　Gephi　visual　analysis,　Ucinet,　and　the　Stata　15　regional　model.　Furthermore,　we　investigate　the　impact　of　geographical　closeness,　technological　closeness,　and　institutional　closeness,　as　well　as　their　interaction,　on　the　green　innovation　performance　of　inventive　organizations　in　China＇s　power　industry.　According　to　the　findings　of　the　study,　geographical　and　institutional　closeness　have　an　important　influence　in　increasing　the　green　innovation　performance.　The　suggested　model　applies　to　the　power　sector,　and　technological　closeness　has　an　inverted　U-shaped　association　with　green　innovation　performance　in　the　power　business.　Furthermore,　the　model　output　at　inference　time　is　just　a　collection　of　successive　parameters　that　improve　the　interaction　of　the　closeness　of　innovation　subjects　to　the　green　innovation　performance　of　the　power　industry,　all　of　which　are　represented　as　complementary　effects.