Evaluation of Indoor Energy-Saving Optimization Design of Green Buildings Based on the Intelligent GANN-BIM Model

The present research showcases the Indoor Energy-Saving Optimization Design of green buildings. This integrated approach synergizes a building’s process based on intelligent GANN-BIM model. model is driven by genetic algorithms (GAs), which include artificial neural networks (ANNs) along with building information models (BIMs). Building modeling (BIM) technology that involves and management digital representation all forms structural These can be exchanged extracted in form files are mainly used for designing decision-making building. BIM empowered as an incorporating (GAs). main objective implementing optimized design Green buildings benefit from model’s ability to handle complex conflicting requirements while using less computational power during evaluation proposed approach. There variety new technologies being developed, but they share common goal: reduce human health environmental impact maximizing energy, water, other resource efficiencies; protecting occupant health; reducing waste; decreasing pollution. empirical results proved outperforms well enhancing energy evaluation.