论文标题
能源零售商的客户负载数据获利：合作游戏方法
Monetizing Customer Load Data for an Energy Retailer: A Cooperative Game Approach
论文作者
论文摘要
当能源客户计划提前加载时，如果其能源零售商获得的话，这些信息可以改善零售商的负载预测。更好的预测会导致批发购买决策可能导致较低的能源失衡成本，从而为零售商带来更高的利润。因此，本文通过根据此类数据来调整批发购买来量化零售商的利润增益来赚取客户可计划负载数据的价值。使用合作游戏理论方法，零售商将他们的预期利润增加到合作的价值，并将其中一部分在客户中重新分配，因为他们的货币激励措施使他们继续提供负载数据。通过案例研究，本文通过使用所提出的框架来证明零售商的额外利润对零售商的重要性，并根据不同的回报分配方法评估了客户对客户的长期货币福利。
When energy customers schedule loads ahead of time, this information, if acquired by their energy retailer, can improve the retailer's load forecasts. Better forecasts lead to wholesale purchase decisions that are likely to result in lower energy imbalance costs, and thus higher profits for the retailer. Therefore, this paper monetizes the value of the customer schedulable load data by quantifying the retailer's profit gain from adjusting the wholesale purchase based on such data. Using a cooperative game theoretic approach, the retailer translates their increased profit in expectation into the value of cooperation, and redistributes a portion of it among the customers as monetary incentives for them to continue providing their load data. Through case studies, this paper demonstrates the significance of the additional profit for the retailer from using the proposed framework, and evaluates the long-term monetary benefits to the customers based on different payoff allocation methods.
