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S. Ali Pourmousavi

机构:The University of Adelaide · ORCID:0000-0003-1115-4200

发表论文 87 篇 · 总被引 2452 次 · h-index 26

代表论文

  • Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model (2024 · Engineering Applications of Artificial Intelligence · 被引 45)
  • Thermal dynamics assessment of vanadium redox flow batteries and thermal management by active temperature control (2023 · Journal of Power Sources · 被引 39)
  • A probabilistic forecast methodology for volatile electricity prices in the Australian National Electricity Market (2024 · International Journal of Forecasting · 被引 33)
  • A synthetic dataset of Danish residential electricity prosumers (2023 · Scientific Data · 被引 23)
  • Point-based and probabilistic electricity demand prediction with a Neural Facebook Prophet and Kernel Density Estimation model (2024 · Engineering Applications of Artificial Intelligence · 被引 21)
  • A new zero-dimensional dynamic model to study the capacity loss mechanism of vanadium redox flow batteries (2024 · Journal of Power Sources · 被引 16)