| AdaBoost |
Adaptive Boosting |
| AFC-STLF |
Accurate Fast Converging Short-Term Load forecast |
| ANFIS |
Adaptive Neuro-Fuzzy Inference System |
| ANN |
Artificial Neural Network |
| ANOVA |
Analysis of Variance |
| AR |
Auto-Regressive |
| ARCH |
Auto-Regressive Conditional Heteroscedasticity |
| ARIMA |
Auto-Regressive Integrated Moving Average |
| ARMA |
Auto-Regressive and Moving Average |
| B-LSTM |
Bidirectional Long Short-Term Memory |
| BM |
Boltzmann Machines |
| CBT |
Customer Behavior Trial |
| CER |
Commission for Energy Regulation |
| CFSCNN |
Combine Feature Selection Convolutional Neural Network |
| CNN |
Convolutional Neural Network |
| CRBM |
Conditional Restricted Boltzmann Machine |
| CV-RMSE |
Cumulative Variation of Root Mean Square Error |
| DB-SVM |
Density Based Support Vector Machine |
| DBN |
Deep Belief Network |
| DDQN |
Dueling Deep-Q Network |
| DNN |
Deep Neural Network |
| DQN |
Deep Q-Network |
| DRL |
Deep Reinforcement Learning |
| DRNN |
Deep Recurrent Neural Network |
| DT |
Decision Tree |
| ECLAT |
Equivalence Class Transformation |
| EDM |
Électricité de Mayotte |
| ELM |
Elaboration Likelihood Model |
| Elman RNN |
Elman Recurrent Neural Network |
| ENTSO-E |
European Network of Transmission System Operators for Electricity |
| FA |
Firefly Algorithm |
| FCRBM |
Factored Conditioned Restricted Boltzmann Machine |
| F-P |
Frequent Pattern |
| GAN |
Generative Adversarial Network |
| GBRT |
Gradient Boosted Regression Trees |
| GDP |
Gross Domestic Product |
| GRU |
Gated Recurrent Units |
| GWDO |
Genetic Wind Driven Optimization |
| HR |
Hit Rate |
| IoT |
Internet of Things |
| IRBDNN |
Iterative Resblocks Based Deep Neural Network |
| ISO-NE |
Independent System Operator New England |
| ISO NECA |
ISO New England Control Area |
| KNN |
K-nearest Neighbors |
| LDA |
Linear Discriminant Analysis |
| LR |
Linear Regression |
| LSTM |
Long Short-Term Memory |
| LSTM-RNN |
Long Short-Term Memory Recurrent Neural Network |
| MAE |
Mean Absolute Error |
| MAM |
Moving Average Model |
| MAPE |
Mean Absolute Percentage Error |
| METAR |
Meteorological Terminal Aviation Routine |
| MI-ANN |
Multiple Instance Artificial Neural Network |
| MIDC |
Measurement and Instrumentation Data Centre |
| MLP |
Multilayer Perceptron |
| MMI |
Modified Mutual Information |
| MT-BNN |
Multitask Bayesian Neural Network |
| NB |
Naive Bayes |
| NLR |
Non-Linear Regression |
| NRMSE |
Normalized Root Mean Squared Error |
| OLS |
Ordinary Least Squares Regression |
| PCA |
Principal Components Analysis |
| PDF |
Probability Distribution Function |
| PICP |
Prediction Interval Coverage Percentage |
| PLS |
Partial Least-Square |
| PLSTM |
Pooling-based Long Short-Term Memory |
| PSO |
Particle Swarm Optimization |
| Pyramid-CNN |
Pyramid Convolutional Neural Network |
| QLSTM |
Quantile Long Short-Term Memory |
| QRF |
Quantile Regression Forest |
| QRGB |
Quantile Regression Gradient Boosting |
| RBM |
Restricted Boltzmann Machine |
| REDD |
Reference Energy Disaggregation Data Set |
| RF |
Random Forest |
| RFE |
Recursive Feature Elimination |
| RL |
Reinforcement Learning |
| RMSE |
Root Mean Squared Error |
| RNN |
Recurrent Neural Network |
| RTPIS |
Real-Time Power and Intelligent Systems |
| S2S |
Sequence to Sequence |
| SD |
Spectral Decomposition |
| SGD |
Stochastic Gradient Descent |
| SGSC |
Smart Grid Smart City |
| SME |
Small and Medium Enterprise |
| SS |
State-Space |
| SVM |
Support Vector Machine |
| SVR |
Support Vector Regression |
| UKDALE |
UK Domestic Appliance-Level Electricity |
| WT-ANN |
Wavelet Transform-Artificial Neural Network |
| XGBoost |
Extreme Gradient Boosting |