EU-Asia Green Energy Supply Chain (2020-2025)

High-frequency data simulating dependency, freight volatility and carbon impact. About Dataset The European Union’s transition to green energy heavily relies on Asian manufacturing. This dataset models the critical intersection between supply chain logistics, economic indicators and environmental policies. It is designed to help analysts build predictive models for supply shocks and price volatility. (Note: The macro-indicators such as PMI and Freight Costs have been interpolated to a 6-hour granularity to facilitate advanced high-frequency time-series forecasting and BI dashboard simulations). Data Dictionary Timestamp: 6-hour interval timeframe (2020 to 2025). EU_Solar_Imports_GW: Volume of solar panels imported to the EU (Gigawatts). Lithium_Battery_Index: Price index reflecting the cost of lithium-ion batteries. Shanghai_to_Rotterdam_Freight_USD: Container shipping costs. Asia_Manufacturing_PMI: Purchasing Managers' Index (Economic health indicator). EU_Carbon_Price_EUR: Price of carbon emissions trading in the EU. Lead_Time_Days: Average delay from manufacturing in Asia to delivery in the EU. Research Ideas Supply Chain Forecasting: Can we predict Lead_Time_Days spikes using Freight and PMI? Cost Impact Analysis: How does the EU_Carbon_Price correlate with the Lithium_Battery_Index? BI Dashboarding: Build a strategic dashboard to alert stakeholders of impending supply shocks.