Daily Electricity Consumption Forecasting Based on Lazy Learning

机译：基于懒惰学习的日常电力消耗预测

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Haiying Li; Bingfang Yang;
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1. Daily Electricity Consumption Forecasting Based on Lazy Learning [J] . Haiying Li, Bingfang Yang MATEC Web of Conferences . 2018,第3期

机译：基于懒学习的日用电量预测
2. Improving forecasting accuracy of daily enterprise electricity consumption using a random forest based on ensemble empirical mode decomposition [J] . Li Chuan, Tao Ying, Ao Wengang, Energy . 2018,第PTaBa1085a1期

机译：基于集成经验模态分解的随机森林提高企业日常用电量的预测准确性
3. Forecasting electricity consumption based on machine learning to improve performance: A case study for the organization of petroleum exporting countries (OPEC) [J] . Khan Abdullah, Chiroma Haruna, Imran Muhammad, Computers and Electrical Engineering . 2020,第1期

机译：基于机器学习提高性能的预测电力消耗 - 以石油出口国组织为例（欧佩克）
4. Typification of the demand-generation relationship of Colombian electricity market and forecast of demand at an hourly-daily level based on consumption patterns [C] . Lilian D. Suárez-Riveros, Jejen-Salinas Santiango, Laura M. Patarroyo-Godoy, International Conference on Information and Communication Systems . 2021

机译：基于消费模式的每日日期水平的哥伦比亚电力市场需求发电关系和需求预测
5. Forecasting by learning methods: The gross domestic product, total energy consumption and petroleum consumption of the United States. [D] . Cheng, Yuanzhi. 1994

机译：通过学习方法进行预测：美国的国内生产总值，总能源消耗和石油消耗。
6. Developing a Mixed Neural Network Approach to Forecast the Residential Electricity Consumption Based on Sensor Recorded Data [O] . Simona-Vasilica Oprea, Alexandru Pîrjan, George Căruțașu, 2018

机译：开发基于传感器记录数据的混合神经网络方法来预测住宅用电量
7. Long-term Electricity Demand Forecasting of Sumatera System Based on Electricity Consumption Intensity and Indonesia Population Projection 2010-2035 [O] . Suhono, Sarjiya 2015

机译：基于用电强度和印度尼西亚人口预测的Sumatera系统长期电力需求预测2010-2035

Daily Electricity Consumption Forecasting Based on Lazy Learning

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