Deep-learning-based short-term electricity load forecasting: A real case application
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Title
Deep-learning-based short-term electricity load forecasting: A real case application
Authors
Keywords
Data science, Time-series forecasting, Short term electricity demand prediction, Deep learning, One-dimensional CNN
Journal
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
Volume 109, Issue -, Pages 104645
Publisher
Elsevier BV
Online
2022-01-14
DOI
10.1016/j.engappai.2021.104645
References
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Note: Only part of the references are listed.- An effective deep learning neural network model for short‐term load forecasting
- (2020) Ning Li et al. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
- Empirical Mode Decomposition based Multi-objective Deep Belief Network for short-term power load forecasting
- (2020) Chaodong Fan et al. NEUROCOMPUTING
- Multivariate time series forecasting via attention-based encoder–decoder framework
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- Holistic design for deep learning-based discovery of tabular structures in datasheet images
- (2020) Ertugrul Kara et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Deep learning methods and applications for electrical power systems: A comprehensive review
- (2020) Asiye K. Ozcanli et al. INTERNATIONAL JOURNAL OF ENERGY RESEARCH
- Electric load forecasting based on deep learning and optimized by heuristic algorithm in smart grid
- (2020) Ghulam Hafeez et al. APPLIED ENERGY
- Sequence-to-sequence neural networks for short-term electrical load forecasting in commercial office buildings
- (2020) Elliott Skomski et al. ENERGY AND BUILDINGS
- Improving physical activity recognition using a new deep learning architecture and post-processing techniques
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- (2020) Malihe Javidi et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Artificial intelligence implementation framework development for building energy saving
- (2020) Dasheng Lee et al. INTERNATIONAL JOURNAL OF ENERGY RESEARCH
- Deep Learning for Time Series Forecasting: A Survey
- (2020) José F. Torres et al. Big Data
- Short-term electricity load and price forecasting by a new optimal LSTM-NN based prediction algorithm
- (2020) Gholamreza Memarzadeh et al. ELECTRIC POWER SYSTEMS RESEARCH
- Integrate domain knowledge in training multi-task cascade deep learning model for benign–malignant thyroid nodule classification on ultrasound images
- (2020) Wenkai Yang et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- A new generation of AI: A review and perspective on machine learning technologies applied to smart energy and electric power systems
- (2019) Lefeng Cheng et al. INTERNATIONAL JOURNAL OF ENERGY RESEARCH
- Deep learning framework to forecast electricity demand
- (2019) Jatin Bedi et al. APPLIED ENERGY
- Short-term load forecasting by using a combined method of convolutional neural networks and fuzzy time series
- (2019) Hossein Javedani Sadaei et al. ENERGY
- Recurrent inception convolution neural network for multi short-term load forecasting
- (2019) Junhong Kim et al. ENERGY AND BUILDINGS
- Bi-directional long short-term memory method based on attention mechanism and rolling update for short-term load forecasting
- (2019) Shouxiang Wang et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Implementing Deep Learning for comprehensive aircraft icing and actuator/sensor fault detection/identification
- (2019) Yiqun Dong ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Performance enhancing techniques for deep learning models in time series forecasting
- (2019) Xing Fang et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Hybrid structures in time series modeling and forecasting: A review
- (2019) Zahra Hajirahimi et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Load demand forecasting of residential buildings using a deep learning model
- (2019) Lulu Wen et al. ELECTRIC POWER SYSTEMS RESEARCH
- Deep ensemble learning based probabilistic load forecasting in smart grids
- (2019) Yandong Yang et al. ENERGY
- A comparative study of the data-driven day-ahead hourly provincial load forecasting methods: From classical data mining to deep learning
- (2019) Xin Liu et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A deep learning model for short-term power load and probability density forecasting
- (2018) Zhifeng Guo et al. ENERGY
- An efficient deep model for day-ahead electricity load forecasting with stacked denoising auto-encoders
- (2018) Chao Tong et al. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
- Assessment of deep recurrent neural network-based strategies for short-term building energy predictions
- (2018) Cheng Fan et al. APPLIED ENERGY
- Day-ahead building-level load forecasts using deep learning vs. traditional time-series techniques
- (2018) Mengmeng Cai et al. APPLIED ENERGY
- Deep learning to frame objects for visual target tracking
- (2017) Shuchao Pang et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Short term electric load forecasting using an automated system of model choice
- (2017) Qihong Duan et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- A switching delayed PSO optimized extreme learning machine for short-term load forecasting
- (2017) Nianyin Zeng et al. NEUROCOMPUTING
- A short-term power load forecasting model based on the generalized regression neural network with decreasing step fruit fly optimization algorithm
- (2017) Rui Hu et al. NEUROCOMPUTING
- Short term load forecasting using wavelet transform combined with Holt–Winters and weighted nearest neighbor models
- (2015) G. Sudheer et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- A hybrid forecasting model with parameter optimization for short-term load forecasting of micro-grids
- (2014) Nian Liu et al. APPLIED ENERGY
- Artificial neural networks for short-term load forecasting in microgrids environment
- (2014) Luis Hernández et al. ENERGY
- Short term electric load forecasting by wavelet transform and grey model improved by PSO (particle swarm optimization) algorithm
- (2014) Saadat Bahrami et al. ENERGY
- A new hybrid Modified Firefly Algorithm and Support Vector Regression model for accurate Short Term Load Forecasting
- (2014) Abdollah Kavousi-Fard et al. EXPERT SYSTEMS WITH APPLICATIONS
- Hybrid PSO–SVM method for short-term load forecasting during periods with significant temperature variations in city of Burbank
- (2013) A. Selakov et al. APPLIED SOFT COMPUTING
- Exponential smoothing with covariates applied to electricity demand forecast
- (2013) José D. Bermúdez European Journal of Industrial Engineering
- Fuzzy interaction regression for short term load forecasting
- (2013) Tao Hong et al. Fuzzy Optimization and Decision Making
- A Strategy for Short-Term Load Forecasting by Support Vector Regression Machines
- (2013) Ervin Ceperic et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- Short-term load forecasting of Australian National Electricity Market by an ensemble model of extreme learning machine
- (2013) Rui Zhang et al. IET Generation Transmission & Distribution
- A new hybrid correction method for short-term load forecasting based on ARIMA, SVR and CSA
- (2013) Abdollah Kavousi-Fard et al. JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE
- Very Short-Term Load Forecasting: Wavelet Neural Networks With Data Pre-Filtering
- (2012) Che Guan et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- A hybrid intelligent algorithm based short-term load forecasting approach
- (2012) Rahmat-Allah Hooshmand et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing
- (2012) Alysha M. De Livera et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- A New Neural Network Approach to Short Term Load Forecasting of Electrical Power Systems
- (2011) Nima Amjady et al. Energies
- Short-Term Load Forecasting Based on a Semi-Parametric Additive Model
- (2011) Shu Fan et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- Short-term load forecasting using lifting scheme and ARIMA models
- (2010) Cheng-Ming Lee et al. EXPERT SYSTEMS WITH APPLICATIONS
- Short-Term Load Forecasting: Similar Day-Based Wavelet Neural Networks
- (2009) Ying Chen et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- Short-term load forecasting of power systems by combination of wavelet transform and neuro-evolutionary algorithm
- (2008) N AMJADY et al. ENERGY
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