Good morning and good news.

Long-term policy guidance framework was developed for sustainable transition in Nigeria 

 A Hybrid deep learning model was used to forecast fluctuated electric loads 

 Four energy scenarios were compared based on econo-environmental analysis 

 The North-West has the highest renewable energy potential in Nigeria compared to other regions 

 The scenario with 35% RE outperforms other scenarios with a 51.5% reduction in TAC, a 12.1% improvement in COE, and a 0.79% decrease in emissions 

 Energy mix strategies based on SWOT-AHP highlighted pathways to meet Nigeria's demand by 2030

​

Fig. 2 A schematic framework of the proposed hybrid deep learning models-based forecasting for guiding sustainable energy policy in Nigeria.

​

Fig. 8 Mix-energy load profiles and comparative econo-environmental impact of energy generation scenarios from the peak-load forecasting