Process / pipelinePower system operation and planning
负荷预测
负荷预测旨在预测电力系统在不同时间尺度上的未来用电需求：分钟至小时（短期）、日至周（中期）以及月至年（长期）。准确的预测对于经济调度、机组组合和系统可靠性至关重要。方法涵盖从经典的统计回归到现代的机器学习方法。
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来源
- 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: 10.1109/59.910780 ↗
- Charlton, J. D., Kalamara, E., & James, R. D. (2008). Quantifying electricity load profiles and demand patterns. Energy Policy, 36(1), 181-193. link ↗
- Bunn, D. W. (2005). Forecasting with Multiple Models: A Case Study of Electric Load Forecasting. Futures, 37(8), 896-906. link ↗
如何引用本页
ScholarGate. (2026, June 3). Electrical Load Forecasting and Demand Prediction. ScholarGate. https://scholargate.app/zh/electrical-engineering/load-forecasting
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