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)