Explainable Machine Learning Framework for Forecasting Household Organic Waste Generation to Support Sustainable Bioenergy Systems
The increase in the volume of organic household waste and the transition to a circular economy require the development of reliable forecasting tools capable of ensuring effective planning of waste recycling and bioenergy production systems. Despite significant advances in machine learning methods, most current research...