Machine Learning-Based Dispatch Optimization of a Molten-Salt Concentrating Solar Power Plant Using Day-Ahead Electricity Price Forecasting
The energy transition poses substantial challenges for all actors in modern power systems, where the output of key renewable technologies is weather-dependent and electricity prices are increasingly volatile. This work presents a decision-support algorithm that optimizes the day-ahead dispatch of a parabolic-trough con...