Agent-based Planning Portfolio

This dataset contains a portfolio of different datasets with generated plans for agents that represent multiple options to choose from. The following datasets are included so far:<br>1. Synthetic2. Residential energy consumption3. Bike sharing 4. Charging control of electric vehicles5. Fog computing load-balancing6. Home appliances peak-shaving<br>These portfolio of agent plans has been used to study the collective learning algorithm of EPOS, the Economic Planning and Optimized Selections: http://epos-net.org本数据集收录了一组多样化的数据集合集，其包含面向智能体（AI Agent）的生成式规划方案，可提供多种可供遴选的决策路径。目前已纳入的数据集如下： 1. 合成数据集（Synthetic） 2. 居民能耗（Residential energy consumption） 3. 共享单车（Bike sharing） 4. 电动汽车充电控制（Charging control of electric vehicles） 5. 雾计算负载均衡（Fog computing load-balancing） 6. 家电峰值削峰（Home appliances peak-shaving） 该智能体规划合集已被用于研究EPOS，即经济规划与优化选择（Economic Planning and Optimized Selections）的集体学习算法，相关网址为：http://epos-net.org