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在分析比较各种负荷预测方法的基础上 ,给出了一个基于互联网的应用神经网络方法进行负荷预测的方案。该方法通过互联网以“准在线”的方式可同时满足较高的逐时负荷预测精度和模型调整的要求 ,并已在实际工程中使用 ,取得了一定的效果。
Based on the analysis and comparison of various load forecasting methods, a load forecasting method based on Internet is given. This method can meet the requirement of high precision of hourly load forecasting and model adjustment through the Internet in a “quasi-online” way and has been used in practical engineering and achieved some results.