Aggregated short-term load forecasting for heterogeneous buildings using machine learning with peak estimation
出版年份 2021 全文链接
标题
Aggregated short-term load forecasting for heterogeneous buildings using machine learning with peak estimation
作者
关键词
Short-term load forecasting, Sequence to sequence (Seq2Seq), Recurrent neural network (RNN), Long short-term memory (LSTM), Random forest, K-nearest neighbor (KNN), Mean absolute percentage error (MAPE), Root mean squared error (RMSE), Heterogeneous buildings, Peak prediction
出版物
ENERGY AND BUILDINGS
Volume 237, Issue -, Pages 110742
出版商
Elsevier BV
发表日期
2021-02-01
DOI
10.1016/j.enbuild.2021.110742
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。- Recurrent inception convolution neural network for multi short-term load forecasting
- (2019) Junhong Kim et al. ENERGY AND BUILDINGS
- Short-term power load forecasting based on multi-layer bidirectional Recurrent Neural Network
- (2019) Yuyan Dai et al. IET Generation Transmission & Distribution
- Day-ahead aggregated load forecasting based on two-terminal sparse coding and deep neural network fusion
- (2019) Haiwen Chen et al. ELECTRIC POWER SYSTEMS RESEARCH
- Mid-term electricity load forecasting by a new composite method based on optimal learning MLP algorithm
- (2019) Mostafa Askari et al. IET Generation Transmission & Distribution
- Short-Term Residential Load Forecasting Based on Resident Behaviour Learning
- (2018) Weicong Kong et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- Forecasting Demand Flexibility of Aggregated Residential Load Using Smart Meter Data
- (2018) Jelena Ponocko et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- Peak load forecasting based on multi-source data and day-to-day topological network
- (2018) Pan Zeng et al. IET Generation Transmission & Distribution
- Multi-nodal short-term energy forecasting using smart meter data
- (2018) Barry P. Hayes et al. IET Generation Transmission & Distribution
- An Ensemble Forecasting Method for the Aggregated Load With Subprofiles
- (2018) Yi Wang et al. IEEE Transactions on Smart Grid
- Relative Humidity for Load Forecasting Models
- (2018) Jingrui Xie et al. IEEE Transactions on Smart Grid
- Conditional Residual Modeling for Probabilistic Load Forecasting
- (2018) Yi Wang et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- Gumbel Copula Based Aggregated Net Load Forecasting For Modern Power Systems
- (2018) Rohit Bhakar et al. IET Generation Transmission & Distribution
- Assessment of deep recurrent neural network-based strategies for short-term building energy predictions
- (2018) Cheng Fan et al. APPLIED ENERGY
- Incentive-based demand response for smart grid with reinforcement learning and deep neural network
- (2018) Renzhi Lu et al. APPLIED ENERGY
- Distributed Robust Control of the Power Flows in a Team of Cooperating Microgrids
- (2017) Chiara Bersani et al. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
- Energy management systems aggregators: A literature survey
- (2017) Andreia M. Carreiro et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A review of artificial intelligence based building energy use prediction: Contrasting the capabilities of single and ensemble prediction models
- (2017) Zeyu Wang et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Short-Term Residential Load Forecasting based on LSTM Recurrent Neural Network
- (2017) Weicong Kong et al. IEEE Transactions on Smart Grid
- Deep belief network based electricity load forecasting: An analysis of Macedonian case
- (2016) Aleksandra Dedinec et al. ENERGY
- Optimal Control of Power Flows and Energy Local Storages in a Network of Microgrids Modeled as a System of Systems
- (2015) Ahmed Ouammi et al. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
- Optimal Control of a Network of Power Microgrids Using the Pontryagin's Minimum Principle
- (2014) Hanane Dagdougui et al. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
- Decentralized Control of the Power Flows in a Network of Smart Microgrids Modeled as a Team of Cooperative Agents
- (2013) Hanane Dagdougui et al. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
- A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition
- (2012) Souhaib Ben Taieb et al. EXPERT SYSTEMS WITH APPLICATIONS
- Electricity Price and Demand Forecasting in Smart Grids
- (2012) Amir Motamedi et al. IEEE Transactions on Smart Grid
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