Random Scenarios for Wind–PV–Thermal–Storage Capacity Planning
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This dataset contains stochastic scenarios used in the paper “Capacity planning of wind–PV–thermal–storage energy bases considering intraday adjustment costs via nested generalized Benders decomposition.” It includes five 400×25 matrices representing the simulated daily variations of key variables in the system. Each row corresponds to one scenario (total of 400).Each column corresponds to one representative time period within a day (25 time intervals).The data were generated using a stochastic sampling method considering historical statistics of load, renewable output, and market prices. The dataset can be loaded in MATLAB using 'load('scenarios.mat')'. Each variable can be accessed directly after loading.
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Zenodo创建时间：
2025-10-20
