Short-Term Load Probabilistic Forecasting Based on Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise Reconstruction and Salp Swarm Algorithm

Day similarity metric model for short-term load forecasting supported by PSO and artificial neural network

(2021) Zoran Janković et al.   ELECTRICAL ENGINEERING

A Short-Term Residential Load Forecasting Model Based on LSTM Recurrent Neural Network Considering Weather Features

(2021) Yizhen Wang et al.   Energies

A Study on Reliability and Capacity Credit Evaluation of China Power System Considering WTG with Multi Energy Storage Systems

(2021) Jingfeng Zhao et al.   Journal of Electrical Engineering & Technology

Smart grid evolution and mobile communications—Scenarios on the Finnish power grid

(2021) Seppo Borenius et al.   ELECTRIC POWER SYSTEMS RESEARCH

Distributed control strategy for global economic operation and bus restorations in a hybrid AC/DC microgrid with interconnected subgrids

(2021) Xiangke Li et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

An improved convolutional neural network with load range discretization for probabilistic load forecasting

(2020) Qian Huang et al.   ENERGY

Deep-Based Conditional Probability Density Function Forecasting of Residential Loads

(2020) Mousa Afrasiabi et al.   IEEE Transactions on Smart Grid

A novel probabilistic short-term wind energy forecasting model based on an improved kernel density estimation

(2020) Jiansheng Guan et al.   INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

RF-PCA: A New Solution for Rapid Identification of Breast Cancer Categorical Data Based on Attribute Selection and Feature Extraction

(2020) Kai Bian et al.   Frontiers in Genetics

Intelligent Systems for Power Load Forecasting: A Study Review

(2020) Ibrahim Salem Jahan et al.   Energies

Multi-temporal-spatial-scale temporal convolution network for short-term load forecasting of power systems

(2020) Linfei Yin et al.   APPLIED ENERGY

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

Industrial Power Load Forecasting Method Based on Reinforcement Learning and PSO-LSSVM

(2020) Quanbo Ge et al.   IEEE Transactions on Cybernetics

A hybrid method based on neural network and improved environmental adaptation method using Controlled Gaussian Mutation with real parameter for short-term load forecasting

(2019) Priyanka Singh et al.   ENERGY

Short Term Load Forecasting Model Based on Kernel-Support Vector Regression with Social Spider Optimization Algorithm

(2019) Alireza Sina et al.   Journal of Electrical Engineering & Technology

Short-Term Power Load Forecasting Based on Elman Neural Network with Particle Swarm Optimization

(2019) Kun Xie et al.   NEUROCOMPUTING

Bayesian deep learning based method for probabilistic forecast of day-ahead electricity prices

(2019) Alessandro Brusaferri et al.   APPLIED ENERGY

Electric load forecasting by complete ensemble empirical mode decomposition adaptive noise and support vector regression with quantum-based dragonfly algorithm

(2019) Zichen Zhang et al.   NONLINEAR DYNAMICS

A hybrid air quality early-warning framework: An hourly forecasting model with online sequential extreme learning machines and empirical mode decomposition algorithms

(2019) Ekta Sharma et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Single and Simultaneous Fault Diagnosis with Application to a Multistage Gearbox: A Versatile Dual-ELM Network Approach

(2018) Zhi-Xin Yang et al.   IEEE Transactions on Industrial Informatics

Fault diagnosis on slipper abrasion of axial piston pump based on Extreme Learning Machine

(2018) Yuan Lan et al.   MEASUREMENT

Role of renewable energy in China’s energy security and climate change mitigation: An index decomposition analysis

(2018) Bing Wang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Embedding based quantile regression neural network for probabilistic load forecasting

(2018) Dahua GAN et al.   Journal of Modern Power Systems and Clean Energy

A SVR-ANN combined model based on ensemble EMD for rainfall prediction

(2018) Yu Xiang et al.   APPLIED SOFT COMPUTING

Deep Learning-based Multivariate Probabilistic Forecasting for Short-Term Scheduling in Power Markets

(2018) Jean-Francois Toubeau et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Short-Term Load Forecasting Using EMD-LSTM Neural Networks with a Xgboost Algorithm for Feature Importance Evaluation

(2017) Huiting Zheng et al.   Energies

Short-Term Residential Load Forecasting based on LSTM Recurrent Neural Network

(2017) Weicong Kong et al.   IEEE Transactions on Smart Grid

Wind speed model based on kernel density estimation and its application in reliability assessment of generating systems

(2016) Bo HU et al.   Journal of Modern Power Systems and Clean Energy

Improved complete ensemble EMD: A suitable tool for biomedical signal processing

(2014) Marcelo A. Colominas et al.   Biomedical Signal Processing and Control