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Machine learning-enhanced biomass forecasting for spatial bioenergy planning under uncertainty
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DOI：10.1016/j.ecmx.2026.102034.png)
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Abstract
En 中文
• Hybrid ML–Monte Carlo framework for spatial biomass forecasting. • Multi-sector model integrates agriculture, forestry, and marine resources. • Policy-driven scenarios capture uncertainty and economic mobilization. • Agricultural biomass dominates in Ireland, led by grass and cattle slurry. • High-policy scenario increases biomass supply by 15% to 20%.
Keywords:
Biomass
Forecasting
Bioenergy
Machine learning
Marine
Forestry
Agriculture
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