Parallel LSTM-Based Regional Integrated Energy System Multienergy Source-Load Information Interactive Energy Prediction
出版年份 2019 全文链接
标题
Parallel LSTM-Based Regional Integrated Energy System Multienergy Source-Load Information Interactive Energy Prediction
作者
关键词
-
出版物
COMPLEXITY
Volume 2019, Issue -, Pages 1-13
出版商
Hindawi Limited
发表日期
2019-11-23
DOI
10.1155/2019/7414318
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Attentive Long Short-Term Preference Modeling for Personalized Product Search
- (2019) Yangyang Guo et al. ACM TRANSACTIONS ON INFORMATION SYSTEMS
- Anomaly detection based on random matrix theory for industrial power systems
- (2019) Qiuyan Zhang et al. JOURNAL OF SYSTEMS ARCHITECTURE
- Stimulus-Driven and Concept-Driven Analysis for Image Caption Generation
- (2019) Songtao Ding et al. NEUROCOMPUTING
- Multi-objective computation offloading for Internet of Vehicles in cloud-edge computing
- (2019) Xiaolong Xu et al. WIRELESS NETWORKS
- A Two-Layer Nonlinear Combination Method for Short-Term Wind Speed Prediction Based on ELM, ENN, and LSTM
- (2019) Min-Rong Chen et al. IEEE Internet of Things Journal
- Classifying transportation mode and speed from trajectory data via deep multi-scale learning
- (2019) Rui Zhang et al. Computer Networks
- A review of deep learning for renewable energy forecasting
- (2019) Huaizhi Wang et al. ENERGY CONVERSION AND MANAGEMENT
- Efficient computation offloading for Internet of Vehicles in edge computing-assisted 5G networks
- (2019) Shaohua Wan et al. JOURNAL OF SUPERCOMPUTING
- Adaptive Fusion and Category-Level Dictionary Learning Model for Multiview Human Action Recognition
- (2019) Zan Gao et al. IEEE Internet of Things Journal
- Multi-objective ensemble forecasting with an application to power transformers
- (2018) Abdolrahman Peimankar et al. APPLIED SOFT COMPUTING
- Wind speed forecasting using nonlinear-learning ensemble of deep learning time series prediction and extremal optimization
- (2018) Jie Chen et al. ENERGY CONVERSION AND MANAGEMENT
- Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, LSTM network and ELM
- (2018) Hui Liu et al. ENERGY CONVERSION AND MANAGEMENT
- Toward service selection for workflow reconfiguration:An interface-based computing solution
- (2018) Honghao Gao et al. Future Generation Computer Systems-The International Journal of eScience
- A nonlinear hybrid wind speed forecasting model using LSTM network, hysteretic ELM and Differential Evolution algorithm
- (2018) Ya-Lan Hu et al. ENERGY CONVERSION AND MANAGEMENT
- A Novel Index for Assessing the Robustness of Integrated Electrical Network and a Natural Gas Network
- (2018) Bo Wang et al. IEEE Access
- Multi-dimensional data indexing and range query processing via Voronoi diagram for internet of things
- (2018) Shaohua Wan et al. Future Generation Computer Systems-The International Journal of eScience
- Cognitive-inspired class-statistic matching with triple-constrain for camera free 3D object retrieval
- (2018) Z. Gao et al. Future Generation Computer Systems-The International Journal of eScience
- Time-aware distributed service recommendation with privacy-preservation
- (2018) Lianyong Qi et al. INFORMATION SCIENCES
- Consumption Behavior Analytics-Aided Energy Forecasting and Dispatch
- (2017) Yingchen Zhang et al. IEEE INTELLIGENT SYSTEMS
- Big data issues in smart grid – A review
- (2017) Chunming Tu et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Network Location-Aware Service Recommendation with Random Walk in Cyber-Physical Systems
- (2017) Yuyu Yin et al. SENSORS
- Short-Term Residential Load Forecasting based on LSTM Recurrent Neural Network
- (2017) Weicong Kong et al. IEEE Transactions on Smart Grid
- An overview of multi-task learning
- (2017) Yu Zhang et al. National Science Review
- Deep belief network based deterministic and probabilistic wind speed forecasting approach
- (2016) H.Z. Wang et al. APPLIED ENERGY
- An improved multi-objective population-based extremal optimization algorithm with polynomial mutation
- (2016) Guo-Qiang Zeng et al. INFORMATION SCIENCES
- A survey on the critical issues in smart grid technologies
- (2016) Ilhami Colak et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Design of fractional order PID controller for automatic regulator voltage system based on multi-objective extremal optimization
- (2015) Guo-Qiang Zeng et al. NEUROCOMPUTING
- Heating, cooling, and electrical load forecasting for a large-scale district energy system
- (2014) Kody M. Powell et al. ENERGY
- A Review of Agent and Service-Oriented Concepts Applied to Intelligent Energy Systems
- (2014) Pavel Vrba et al. IEEE Transactions on Industrial Informatics
- Analysis on demand-side interactive response capability for power system dispatch in a smart grid framework
- (2012) Wenzhao Jia et al. ELECTRIC POWER SYSTEMS RESEARCH
- Optimal operation of an integrated energy system including fossil fuel power generation, CO2 capture and wind
- (2011) Charles A. Kang et al. ENERGY
- The Future Renewable Electric Energy Delivery and Management (FREEDM) System: The Energy Internet
- (2010) A Q Huang et al. PROCEEDINGS OF THE IEEE
- Convex multi-task feature learning
- (2008) Andreas Argyriou et al. MACHINE LEARNING
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started