Advancing Renewable Electricity Consumption With Reinforcement Learning
Fraunhofer Institute for Telecommunications, HHI（弗劳恩霍夫电信研究所）
英文摘要：
As the share of renewable energy sources in the present electric energy mix rises, their intermittence proves to be the biggest challenge to carbon free electricity generation. To address this challenge, we propose an electricity pricing agent, which sends price signals to the customers and contributes to shifting the customer demand to periods of high renewable energy generation. We propose an implementation of a pricing agent with a reinforcement learning approach where the environment is represented by the customers, the electricity generation utilities and the weather conditions.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
