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	Urban Trip Generation Forecasting Based on Gradient Boosting Algorithm 会议论文 Beijing, China, 2021-7-15 作者: Zhishuai Li; Gang Xiong; Yu Zhang; Meng Zheng; Xisong Dong 收藏 \| 浏览/下载：12/0 \| 提交时间：2022/06/16
	Short-term wind speed time series forecasting based on a hybrid method with multiple objective optimization for non-convex target 会议论文作者: Dong, Yunxuan; Wang, Jing; Xiao, Ling; Fu, Tonglin 收藏 \| 浏览/下载：2/0 \| 提交时间：2020/12/18 Convergence of numerical methods Convolutional neural networks Cost functions Forecasting Heuristic algorithms Optimization Time series Wind powerComputation complexity Convergence problems Convexity-preserving Heuristic optimization algorithms Multiple-objective optimization Optimal parameter Wind speed forecasting Wind speed time series
	Research on equipment fault prediction expert system based on big data dimension reduction 会议论文 Jinan, Virtual, China, June 19, 2020 - June 21, 2020 作者: Zhu, Ningning; Song, Bin; Lu, Yan; Li, Yingtang; Zhu, Zhongzheng 收藏 \| 浏览/下载：9/0 \| 提交时间：2020/12/18 Backpropagation Big data Crude oil Dimensionality reduction Expert systems Fluid catalytic cracking Forecasting Fuzzy inference Fuzzy logic Fuzzy neural networks Heavy oil production Nonlinear control systems Pattern recognition systemsData dimension reduction Dimension reduction Error back propagation Heavy oil catalytic cracking Inspection and maintenance Petrochemical enterprise Physical information Prediction accuracy
	Predicting Oil Production in Single Well using Recurrent Neural Network 会议论文 Virtual, Fuzhou, China, June 12, 2020 - June 14, 2020 作者: Xia, Lin; Shun, Xu; Jiewen, Wu; Lan, Mi 收藏 \| 浏览/下载：2/0 \| 提交时间：2020/11/15 Big data Decision trees Forecasting Internet of things Oil field development Oil wells Petroleum industry Predictive analytics Support vector machines Generalization capability Large scale data Prediction accuracy Predictive modeling Production data Production prediction Single well production Water saturations
	Short-term load forecasting of long-short term memory neural network based on genetic algorithm 会议论文 Wuhan, China, October 30 - November 1, 2020 作者: Li WT(李婉婷); Zang CZ(臧传治); Liu D(刘鼎); Zeng P(曾鹏) 收藏 \| 浏览/下载：13/0 \| 提交时间：2021/03/14 load forecasting long-short term neural networks genetic algorithm learning rate iteration number
	Short-Term Photovoltaic Power Prediction Modeling Based on AdaBoost Algorithm and Elman 会议论文 Virtual, Chengdu, China, December 25-27, 2020 作者: Sun, Wenxuan; Zhang T(张涛); Tao, Ran; Wang AN(王安娜) 收藏 \| 浏览/下载：12/0 \| 提交时间：2021/03/14 Photovoltaic power prediction AdaBoost algorithm Bat algorithm Elman nerve-network
	Short-Term Solar Power Generation Forecasting Via Continuous Conditional Random Fields 会议论文 Chengdu, China, China, 6-9 Dec. 2019 作者: Pan, Cheng; Tan, Jie; Feng, Dandan 收藏 \| 浏览/下载：13/0 \| 提交时间：2020/09/25 continuous conditional random fields , solar generation forecasting , regularization
	Very Short-Term Solar Generation Forecasting Based on LSTM with Temporal Attention Mechanism 会议论文 Chengdu, China, China, 6-9 Dec. 2019 作者: Pan, Cheng; Tan, Jie; Feng, Dandan; Li, Yi 收藏 \| 浏览/下载：6/0 \| 提交时间：2020/09/25 photovoltaic power prediction , Long Short-Term Memory (LSTM) , attention mechanism , machine learning , partial correlation analysis
	Short-term electricity load forecasting using a mapreduce-based elman networks with coarse-grained parallel genetic optimization 会议论文 Dali, China, December 6, 2019 - December 8, 2019 作者: Bao, Guangqing; Liu, Fuchao; He, Xin; Zhang, Gang 收藏 \| 浏览/下载：1/0 \| 提交时间：2020/11/15 Agricultural robots Biomimetics Efficiency Electric power plant loads Forecasting Genetic algorithms Neural networks Robotics Coarse-grained parallels Electrical load forecasting Elman neural network Elman neural networks (ENN) Map-reduce Meteorological information Short-term electrical loads Short-term electricity load forecasting
	Deep Learning with Long Short-Term Memory Networks for Air Temperature Predictions 会议论文 Dublin, Ireland, October 17, 2019 - October 19, 2019 作者: Li, Cong; Zhang, Yaonan; Zhao, Guohui 收藏 \| 浏览/下载：1/0 \| 提交时间：2020/11/15 Agricultural robots Agriculture Atmospheric temperature Brain Decision trees Deep learning Deep neural networks Forecasting Manufacture Random forests Agricultural productions Air temperature Meteorological variables Prediction accuracy Process temperature Short term memory Temperature prediction Time-series data

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