Search Results for author:
Found 3 papers, 1 papers with code
Deep Learning for Principal-Agent Mean Field Games
Here, we develop a deep learning algorithm for solving Principal-Agent (PA) mean field games with market-clearing conditions -- a class of problems that have thus far not been studied and one that poses difficulties for standard numerical methods.
A Mean-Field Game Approach to Equilibrium Pricing in Solar Renewable Energy Certificate Markets
As such, the SREC market can be viewed as a stochastic game, where agents interact through the SREC price.
Optimal Behaviour in Solar Renewable Energy Certificate (SREC) Markets
A regulator imposes a floor on the amount of energy each regulated firm must generate from solar power in a given period and provides them with certificates for each generated MWh.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
