## Abbreviations  
* [1]
* [2] EMS & Energy Management System & SVD-ES & Singular Value Decomposition-Based Exponential Smoothing
* [4] EG & Electric Grid & PS & Power System
* [6] RESs & Renewable Energy Sources & FFNN & Feed-Forward Neural Network
* [8] STLF & Short-Term Load Forecasting & DERs & Distributed Energy Resources
* [10] RNNs & Recurrent Neural Networks
* [12] ELM & Extreme Learning Machine & NNs & Neural Networks
* [14] DSM & Demand-Side Management & PF & Particle Filter
* [16] LF & Load Forecasting & MF & Multi-Component Forecast
* [18] EDF & Electricity Demand Forecast & LWR & Locally Weighted Regression
* [20] RMSE & Root Mean Square Error & LWSVR & Locally Weighted Support Vector Regression
* [22] MAE & Mean Absolute Error & NPR & Non-Parametric Regression
* [24] MAPE & Mean Absolute Percentage Error & RMSPE & Root Mean Square Percentage Error
* [26] ICM & Intelligent-Computing-Based Model & MLR & Multiple Linear Regression
* [28] ANN & Artificial Neural Network & ILP & Integer Linear Programming
* [29] GRU & Gated Recurrent Unit & PLAQ-RM & Partially Linear Additive Quantile Regression Model
* [31] DNN & Deep Neural Network & SSVRE & Subsampled Support Vector Regression Ensemble
* [33] ML & Machine Learning & PAR & Passive Aggressive Regression
* [35] EVs & Electric Vehicles & SGDR & Stochastic Gradient Descent Regressor
* [37] LTLF & Long-Term Load Forecasting & FTRLP & Follow-the-Regularized-Leader-Proxima
* [39] MTLF & Medium-Term Load Forecasting & ARMA & Autoregressive Moving Average
* [31] VSTLF & Very Short-Term Load Forecasting & PSO & Particle Swamp Optimization
* [33] ABPA & Adaptive Back Propagation Algorithm
* [35] MARS & Multi-Variate Adaptive Regression Spline & BPNN & Back Propagation Neural Network
* [37] LR & Linear Regression & ENN & Evolving Neural Network
* [39] TD-CNN & Time-Dependent Convolutional Neural Network
* [40] C-LSTM & Cycle-Based Long Short-Term Memory
* [42] MLP & Multi-Layer Perceptron
* [44] GA & Genetic Algorithm & MRA & Multiple Regression Analysis
* [46] NARX-NN & Anode-BPNN & Adaptive Differential Evolution with BPNN
* [48] ENS & Energy Management System
* [40] ES & Exponential Smoothing
* [42] MMI & Modified Mutual Information
* [44] FCRBM & Factored-Conditional-Restricted Boltzmann Machine
* [46] DT & Decision Tree
* [48] NLR & Non-Linear Regression
* [40] LSSVM & Least Squares Support Vector Machine
* [49] OSELM & Online Sequential Extreme Learning Machine
* [41] Exponential Generalized Autoregressive Conditional
* [43] Heteroskedasticity
* [45] ARIMA & Autoregressive Integrated Moving Average
* [47] SARIMA & Seasonal Autoregressive Integrated Moving Average
* [49] SARIMAX & Seasonal Autoregressive Integrated Moving Average
* [40] with Exogenous Input
* [42] BVAR & Bayesian Vector Autoregressive
* [44] Generalized Autoregressive Conditional
* [46] Heteroskedasticity
* [48] SEGARCH & Categorical Autoregressive Integrated Moving Average
* [49] WNN & Wavelet Neural Network
* [40] Winters Model with Exponential Form of
* [41] WARCH & Generalized Autoregressive Conditional
* [43] Heteroskedasticity
* [45] Single Exponential Smoothing
* [47] DES & Double Exponential Smoothing
* [49] TES & Triple Exponential Smoothing
* [40] RM & Regression Model
* [41]