Deep-learning-based short-term electricity load forecasting: A real case application

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

(2020) Shengdong Du et al.   NEUROCOMPUTING

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

(2020) Manuel Gil-Martín et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A deep learning framework for text-independent writer identification

(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