قارن الطرق
راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.
| التنبؤ بالأحمال× | تحليل تدفق الطاقة× | |
|---|---|---|
| المجال | الهندسة الكهربائية | الهندسة الكهربائية |
| العائلة | Process / pipeline | Process / pipeline |
| سنة النشأة≠ | 1960s | 1956 |
| صاحب الطريقة≠ | Electrical utilities | Ward and Hale |
| النوع | Computational pipeline | Computational pipeline |
| المصدر التأسيسي≠ | Hippert, H. S., Pedreira, C. E., & Souza, R. C. (2001). Neural networks for short-term load forecasting: A review and evaluation. IEEE Transactions on Power Systems, 16(1), 44-55. DOI ↗ | Saadat, H. (2010). Power System Analysis (3rd ed.). PSA Publishing. link ↗ |
| الأسماء البديلة≠ | demand forecasting, electricity consumption prediction, load demand estimation | load flow analysis, power flow study |
| ذات صلة≠ | 4 | 5 |
| الملخص≠ | Load forecasting predicts future electrical demand on power systems across various time horizons: minutes to hours (short-term), days to weeks (medium-term), and months to years (long-term). Accurate forecasting is essential for economic dispatch, unit commitment, and system reliability. Methods range from classical statistical regression to modern machine learning approaches. | Power flow analysis, also called load flow study, is a computational method that determines the steady-state voltage, current, and power distribution across all buses in an electrical power system. Developed by Ward and Hale in 1956, it is fundamental to power system planning, operation, and optimization. |
| ScholarGateمجموعة البيانات ↗ |
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