Review and prospect of data-driven techniques for load forecasting in integrated energy systems
出版年份 2022 全文链接
标题
Review and prospect of data-driven techniques for load forecasting in integrated energy systems
作者
关键词
-
出版物
APPLIED ENERGY
Volume 321, Issue -, Pages 119269
出版商
Elsevier BV
发表日期
2022-06-05
DOI
10.1016/j.apenergy.2022.119269
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。- A compact model to coordinate flexibility and efficiency for decomposed scheduling of integrated energy system
- (2021) Huan Ma et al. APPLIED ENERGY
- A review of machine learning in building load prediction
- (2021) Liang Zhang et al. APPLIED ENERGY
- Multiple-Load Forecasting for Integrated Energy System Based on Copula-DBiLSTM
- (2021) Jieyun Zheng et al. Energies
- A Dynamic Equivalent Model for District Heating Networks: Formulation, Existence and Application in Distributed Electricity-Heat Operation
- (2021) Weiye Zheng et al. IEEE Transactions on Smart Grid
- N-BEATS neural network for mid-term electricity load forecasting
- (2021) Boris N. Oreshkin et al. APPLIED ENERGY
- Residential load forecasting based on LSTM fusing self-attention mechanism with pooling
- (2021) Haixiang Zang et al. ENERGY
- Deep Learning Based Densely Connected Network for Load Forecasting
- (2021) Zhuoling Li et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- Deep autoencoder with localized stochastic sensitivity for short-term load forecasting
- (2021) Ting Wang et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Uncertain Interval Forecasting for Combined Electricity-Heat-Cooling-Gas Loads in the Integrated Energy System Based on Multi-Task Learning and Multi-Kernel Extreme Learning Machine
- (2021) Haoran Zhao et al. Mathematics
- Day-ahead city natural gas load forecasting based on decomposition-fusion technique and diversified ensemble learning model
- (2021) Fengyun Li et al. APPLIED ENERGY
- An interval decomposition-ensemble approach with data-characteristic-driven reconstruction for short-term load forecasting
- (2021) Dongchuan Yang et al. APPLIED ENERGY
- Interval forecasting system for electricity load based on data pre-processing strategy and multi-objective optimization algorithm
- (2021) Jianzhou Wang et al. APPLIED ENERGY
- Review of low voltage load forecasting: Methods, applications, and recommendations
- (2021) Stephen Haben et al. APPLIED ENERGY
- Techno-economic evaluation of integrated energy systems for heat recovery applications in food retail buildings
- (2021) Emilio José Sarabia Escriva et al. APPLIED ENERGY
- Multi-objective planning of regional integrated energy system aiming at exergy efficiency and economy
- (2021) Yongli Wang et al. APPLIED ENERGY
- Optimal sizing for an integrated energy system considering degradation and seasonal hydrogen storage
- (2021) Yuchen Pu et al. APPLIED ENERGY
- Digital twins based day-ahead integrated energy system scheduling under load and renewable energy uncertainties
- (2021) Minglei You et al. APPLIED ENERGY
- Distributed Real-Time Dispatch of Integrated Electricity and Heat Systems With Guaranteed Feasibility
- (2021) Weiye Zheng et al. IEEE Transactions on Industrial Informatics
- DB-Net: A novel dilated CNN based multi-step forecasting model for power consumption in integrated local energy systems
- (2021) Noman Khan et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Multi-energy load forecasting for regional integrated energy systems considering temporal dynamic and coupling characteristics
- (2020) Shaomin Wang et al. ENERGY
- A review of the-state-of-the-art in data-driven approaches for building energy prediction
- (2020) Ying Sun et al. ENERGY AND BUILDINGS
- Ultra-Short-Term Industrial Power Demand Forecasting Using LSTM Based Hybrid Ensemble Learning
- (2020) Mao Tan et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- Multi-objective stochastic expansion planning based on multi-dimensional correlation scenario generation method for regional integrated energy system integrated renewable energy
- (2020) Yang Lei et al. APPLIED ENERGY
- An attention‐based CNN‐LSTM‐BiLSTM model for short‐term electric load forecasting in integrated energy system
- (2020) Kuihua Wu et al. International Transactions on Electrical Energy Systems
- Deep learning for load forecasting with smart meter data: Online Adaptive Recurrent Neural Network
- (2020) Mohammad Navid Fekri et al. APPLIED ENERGY
- Short-term electric load forecasting for buildings using logistic mixture vector autoregressive model with curve registration
- (2020) Dongyeon Jeong et al. APPLIED ENERGY
- A hybrid load forecasting model based on support vector machine with intelligent methods for feature selection and parameter optimization
- (2020) Yeming Dai et al. APPLIED ENERGY
- Modeling load forecast uncertainty using generative adversarial networks
- (2020) Yi Wang et al. ELECTRIC POWER SYSTEMS RESEARCH
- Electricity, Heat, and Gas Load Forecasting Based on Deep Multitask Learning in Industrial-Park Integrated Energy System
- (2020) Linjuan Zhang et al. Entropy
- A hybrid deep meta-ensemble networks with application in electric utility industry load forecasting
- (2020) Shaohui Ma INFORMATION SCIENCES
- An Experimental Review on Deep Learning Architectures for Time Series Forecasting
- (2020) Pedro Lara-Benitez et al. International Journal of Neural Systems
- A Comprehensive Survey on Transfer Learning
- (2020) Fuzhen Zhuang et al. PROCEEDINGS OF THE IEEE
- A Comprehensive Survey on Graph Neural Networks
- (2020) Zonghan Wu et al. IEEE Transactions on Neural Networks and Learning Systems
- A Novel Closed-Loop Clustering Algorithm for Hierarchical Load Forecasting
- (2020) Chi Zhang et al. IEEE Transactions on Smart Grid
- Multi-energy net load forecasting for integrated local energy systems with heterogeneous prosumers
- (2020) Bin Zhou et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- An Adaptive Distributionally Robust Model for Three-Phase Distribution Network Reconfiguration
- (2020) Weiye Zheng et al. IEEE Transactions on Smart Grid
- Probabilistic Solar Irradiation Forecasting Based on Variational Bayesian Inference With Secure Federated Learning
- (2020) Xiaoning Zhang et al. IEEE Transactions on Industrial Informatics
- Federated Machine Learning
- (2019) Qiang Yang et al. ACM Transactions on Intelligent Systems and Technology
- Short-term scenario-based probabilistic load forecasting: A data-driven approach
- (2019) Abdolrahman Khoshrou et al. APPLIED ENERGY
- A hybrid short-term load forecasting model based on variational mode decomposition and long short-term memory networks considering relevant factors with Bayesian optimization algorithm
- (2019) Feifei He et al. APPLIED ENERGY
- Modelling electric and heat load profiles of non-residential buildings for use in long-term aggregate load forecasts
- (2019) K.B. Lindberg et al. Utilities Policy
- Modeling and forecasting building energy consumption: A review of data-driven techniques
- (2019) Mathieu Bourdeau et al. Sustainable Cities and Society
- Short-Term Load Forecasting for CCHP Systems Considering the Correlation between Heating, Gas and Electrical Loads Based on Deep Learning
- (2019) Ruijin Zhu et al. Energies
- Parallel LSTM-Based Regional Integrated Energy System Multienergy Source-Load Information Interactive Energy Prediction
- (2019) Bo Wang et al. COMPLEXITY
- A hybrid short-term load forecasting model developed by factor and feature selection algorithms using improved grasshopper optimization algorithm and principal component analysis
- (2019) Mesbaholdin Salami et al. ELECTRICAL ENGINEERING
- Combined electricity-heat-cooling-gas load forecasting model for integrated energy system based on multi-task learning and least square support vector machine
- (2019) Zhongfu Tan et al. JOURNAL OF CLEANER PRODUCTION
- Two-Layer Transfer-Learning-Based Architecture for Short-Term Load Forecasting
- (2019) Long Cai et al. IEEE Transactions on Industrial Informatics
- A Hybrid Distribution Feeder Long-Term Load Forecasting Method Based on Sequence Prediction
- (2019) Ming Dong et al. IEEE Transactions on Smart Grid
- Multiple Kernel Learning-Based Transfer Regression for Electric Load Forecasting
- (2019) Di Wu et al. IEEE Transactions on Smart Grid
- Hybrid Ensemble Deep Learning for Deterministic and Probabilistic Low-Voltage Load Forecasting
- (2019) Zhaojing Cao et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- Load forecasting under changing climatic conditions for the city of Sydney, Australia
- (2018) T. Ahmed et al. ENERGY
- A comprehensive overview on the data driven and large scale based approaches for forecasting of building energy demand: A review
- (2018) Tanveer Ahmad et al. ENERGY AND BUILDINGS
- Short-Term Residential Load Forecasting Based on Resident Behaviour Learning
- (2018) Weicong Kong et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- Strategic Offering and Equilibrium in Coupled Gas and Electricity Markets
- (2018) Cheng Wang et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- Data-Driven Probabilistic Net Load Forecasting With High Penetration of Behind-the-Meter PV
- (2018) Yi Wang et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- A review of data-driven approaches for prediction and classification of building energy consumption
- (2018) Yixuan Wei et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Short-term Load Forecasting with Deep Residual Networks
- (2018) Kunjin Chen et al. IEEE Transactions on Smart Grid
- Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges
- (2018) Yi Wang et al. IEEE Transactions on Smart Grid
- Using peer-to-peer energy-trading platforms to incentivize prosumers to form federated power plants
- (2018) Thomas Morstyn et al. Nature Energy
- Decentralized Operation of Interdependent Power Distribution Network and District Heating Network: A Market-Driven Approach
- (2018) Yang Cao et al. IEEE Transactions on Smart Grid
- A review and analysis of regression and machine learning models on commercial building electricity load forecasting
- (2017) B. Yildiz et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Building electrical energy consumption forecasting analysis using conventional and artificial intelligence methods: A review
- (2017) Mohammad Azhar Mat Daut et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Electrical load forecasting models: A critical systematic review
- (2017) Corentin Kuster et al. Sustainable Cities and Society
- Energy Internet: The business perspective
- (2016) Kaile Zhou et al. APPLIED ENERGY
- Integrated Energy Systems
- (2016) Jianzhnog Wu et al. APPLIED ENERGY
- Research and application of a hybrid model based on multi-objective optimization for electrical load forecasting
- (2016) Liye Xiao et al. APPLIED ENERGY
- Transmission-Constrained Unit Commitment Considering Combined Electricity and District Heating Networks
- (2016) Zhigang Li et al. IEEE Transactions on Sustainable Energy
- A hybrid model based on data preprocessing for electrical power forecasting
- (2015) Liye Xiao et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Wide Area Monitoring System based on the third generation Universal Mobile Telecommunication System (UMTS) for event identification
- (2015) M.M. Eissa et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Deep learning
- (2015) Yann LeCun et al. NATURE
- A review of the pricing mechanisms for district heating systems
- (2015) Hailong Li et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Modeling and forecasting of cooling and electricity load demand
- (2014) A. Vaghefi et al. APPLIED ENERGY
- Heating, cooling, and electrical load forecasting for a large-scale district energy system
- (2014) Kody M. Powell et al. ENERGY
- Spatial Load Forecasting With Communication Failure Using Time-Forward Kriging
- (2014) Gu Chaojun et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- A review on applications of ANN and SVM for building electrical energy consumption forecasting
- (2014) A.S. Ahmad et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Balance of Power: Toward a More Environmentally Friendly, Efficient, and Effective Integration of Energy Systems in China
- (2013) Chongqing Kang et al. IEEE Power & Energy Magazine
- Hybrid Kalman Filters for Very Short-Term Load Forecasting and Prediction Interval Estimation
- (2013) Che Guan et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- A new hybrid day-ahead peak load forecasting method for Iran’s National Grid
- (2012) M. Moazzami et al. APPLIED ENERGY
- On the use of cross-validation for time series predictor evaluation
- (2012) Christoph Bergmeir et al. INFORMATION SCIENCES
- A review on the prediction of building energy consumption
- (2012) Hai-xiang Zhao et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Role of renewable energy sources in environmental protection: A review
- (2011) N.L. Panwar et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Energy models for demand forecasting—A review
- (2011) L. Suganthi et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A Survey on Transfer Learning
- (2009) Sinno Jialin Pan et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- The Graph Neural Network Model
- (2008) F. Scarselli et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More