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Study of applicability of the methods of medium and long term load forecasting in new economy normal state

机译：新经济正常国家中长期负荷预测方法的适用性研究

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Li-Ning Zhao; Zong-Chuan Zhou; Ya-Peng Zhang; Meng-Kai Wu;
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年度 2017
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2. A generally applicable, simple and adaptive forecasting method for the short-term heat load of consumers [J] . Nigitz Thomas, Goelles Markus Applied Energy . 2019,第MAY1期

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3. Medium Term Load Forecasting for Jordan Electric Power System Using Particle Swarm Optimization Algorithm Based on Least Square Regression Methods [J] . Mohammed Hattab, Mohammed Ma’itah, Tha’er Sweidan, Journal of Power and Energy Engineering . 2017,第2期

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4. Study of applicability of the methods of medium and long term load forecasting in new economy normal state [C] . Li-Ning Zhao, Zong-Chuan Zhou, Ya-Peng Zhang, Annual International Forum on Energy, Environmental and Sustainable Ecosystem Development . 2017

机译：新经济正常国家中长期负荷预测方法的适用性研究
5. Application of least squares support vector machines in medium-term load forecasting. [D] . Afshin, Mohammadreza. 2007

机译：最小二乘支持向量机在中期负荷预测中的应用。
6. Towards Modified Entropy Mutual Information Feature Selection to Forecast Medium-Term Load Using a Deep Learning Model in Smart Homes [O] . Omaji Samuel, Fahad A. Alzahrani, Raja Jalees Ul Hussen Khan, 2020

机译：在修改熵互信息特征选择中在智能房屋中使用深度学习模型预测中期负荷
7. Medium Term Load Forecasting for Jordan Electric Power System Using Particle Swarm Optimization Algorithm Based on Least Square Regression Methods [O] . Mohammed Hattab, Mohammed Ma’itah, Tha’er Sweidan, 2017

机译：基于最小二乘回归方法的粒子群优化算法的JORDAN电力系统中期负荷预测

Study of applicability of the methods of medium and long term load forecasting in new economy normal state

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