Biomass Prediction and Design of an Optimum Demand-Supply Chain
The project Biomass Prediction and Design of an Optimum Demand-Supply Chain was a part of the Shell.ai hackathon for sustainable and affordable energy organized in 2023 presented a challenge to predict biomass production for the future years and design an efficient demand supply chain for the same by leveraging the provided data of the Gujarat State in India. An intelligent model was trained followed by an efficient demand supply chain with an accuracy rate of 76.765%, which was successfully deployed and ranked among the Top 10 teams worldwide.
The project Biomass Prediction and Design of an Optimum Demand-Supply Chain was a part of Shell.ai hackathon organized in 2023 based on the theme of sustainable and affordable energy, with a challenge to develop and design an intelligent AI solution for the cleaner energy.
There were two primary tasks to complete as per the given problem statement:
- Prediction of biomass production in the future years using past time series data.
- Designing of an efficient demand-supply chain for biomass transportation considering given constrains and cost-factor.
