Develop a Uniform Singapore Energy Price (USEP) forecasting model that takes into account of historical correlations among multi-dimensional data sets, and system information (e.g., unit maintenance projection), employing innovative ways in applying AI (e.g. NLP/NLG + predictive analytics) to improve accuracy of forecasts.
In this project, a Market Information Dashboard including multiple interactive charts, tables and analytical market commentary was developed to visualize the forecast and demand data. Plotly Dash was utilized to build this dashboard.
You can view the dashboard demo on YouTube: https://www.youtube.com/watch?v=g511j_x5hmE&ab_channel=KennethLeung