Computational Intelligence on Short-Term Load Forecasting: A Methodological Overview

Computational Intelligence Approaches for Energy Load Forecasting in Smart Energy Management Grids: State of the Art, Future Challenges, and Research Directions

(2018) Seyedeh Fallah et al.   Energies

A regional hybrid GOA-SVM model based on similar day approach for short-term load forecasting in Assam, India

(2018) Mayur Barman et al.   ENERGY

A hybrid model based on selective ensemble for energy consumption forecasting in China

(2018) Jin Xiao et al.   ENERGY

Two stage forecast engine with feature selection technique and improved meta-heuristic algorithm for electricity load forecasting

(2018) Noradin Ghadimi et al.   ENERGY

Short-Term Residential Load Forecasting Based on Resident Behaviour Learning

(2018) Weicong Kong et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Using Quadratic Programming to Optimally Adjust Hierarchical Load Forecasting

(2018) Yao Zhang et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

An Ensemble Forecasting Method for the Aggregated Load With Subprofiles

(2018) Yi Wang et al.   IEEE Transactions on Smart Grid

Relative Humidity for Load Forecasting Models

(2018) Jingrui Xie et al.   IEEE Transactions on Smart Grid

Distributed Energy Management for Comprehensive Utilization of Residential Photovoltaic Outputs

(2018) Yu Fujimoto et al.   IEEE Transactions on Smart Grid

Short term load forecasting based on feature extraction and improved general regression neural network model

(2018) Yi Liang et al.   ENERGY

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

(2017) Huiting Zheng et al.   Energies

Deep Learning for Household Load Forecasting – A Novel Pooling Deep RNN

(2017) Heng Shi et al.   IEEE Transactions on Smart Grid

Incorporating Practice Theory in Sub-Profile Models for Short Term Aggregated Residential Load Forecasting

(2017) Bruce Stephen et al.   IEEE Transactions on Smart Grid

Shape-Based Approach to Household Electric Load Curve Clustering and Prediction

(2017) Thanchanok Teeraratkul et al.   IEEE Transactions on Smart Grid

An Efficient Approach to Short-Term Load Forecasting at the Distribution Level

(2016) Xiaorong Sun et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Clustering based day-ahead and hour-ahead bus load forecasting models

(2016) Ioannis P. Panapakidis   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Pattern similarity-based methods for short-term load forecasting – Part 1: Principles

(2015) Grzegorz Dudek   APPLIED SOFT COMPUTING

A hybrid short-term load forecasting with a new input selection framework

(2015) M. Ghofrani et al.   ENERGY

Mid-term interval load forecasting using multi-output support vector regression with a memetic algorithm for feature selection

(2015) Zhongyi Hu et al.   ENERGY

A SOM clustering pattern sequence-based next symbol prediction method for day-ahead direct electricity load and price forecasting

(2015) Cheng Hao Jin et al.   ENERGY CONVERSION AND MANAGEMENT

Hybrid filter–wrapper feature selection for short-term load forecasting

(2015) Zhongyi Hu et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Correlation and instance based feature selection for electricity load forecasting

(2015) Irena Koprinska et al.   KNOWLEDGE-BASED SYSTEMS

A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings

(2015) Muhammad Qamar Raza et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Probabilistic Load Forecasting via Quantile Regression Averaging on Sister Forecasts

(2015) Bidong Liu et al.   IEEE Transactions on Smart Grid

Using Smart Meter Data to Improve the Accuracy of Intraday Load Forecasting Considering Customer Behavior Similarities

(2015) Franklin L. Quilumba et al.   IEEE Transactions on Smart Grid

Comprehensive learning particle swarm optimization based memetic algorithm for model selection in short-term load forecasting using support vector regression

(2014) Zhongyi Hu et al.   APPLIED SOFT COMPUTING

A new short-term load forecast method based on neuro-evolutionary algorithm and chaotic feature selection

(2014) Sajjad Kouhi et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Analysis of Similarity Measures in Times Series Clustering for the Discovery of Building Energy Patterns

(2013) Félix Iglesias et al.   Energies

A Strategy for Short-Term Load Forecasting by Support Vector Regression Machines

(2013) Ervin Ceperic et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Interval Type-2 Fuzzy Logic Systems for Load Forecasting: A Comparative Study

(2012) Abbas Khosravi et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Optimal combination forecasts for hierarchical time series

(2011) Rob J. Hyndman et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

SVR with Hybrid Chaotic Immune Algorithm for Seasonal Load Demand Forecasting

(2011) Wei-Chiang Hong et al.   Energies

Short-Term Multinodal Load Forecasting Using a Modified General Regression Neural Network

(2011) Kenji Nose-Filho et al.   IEEE TRANSACTIONS ON POWER DELIVERY

Holiday Load Forecasting Using Fuzzy Polynomial Regression With Weather Feature Selection and Adjustment

(2011) Young-Min Wi et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Short-Term Load Forecasting Based on a Semi-Parametric Additive Model

(2011) Shu Fan et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Neural-based electricity load forecasting using hybrid of GA and ACO for feature selection

(2011) Mansour Sheikhan et al.   NEURAL COMPUTING & APPLICATIONS

Energy Time Series Forecasting Based on Pattern Sequence Similarity

(2010) Francisco Martinez Alvarez et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Electric Load Forecasting Based on Statistical Robust Methods

(2010) Yacine Chakhchoukh et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Electric Load Forecasting Based on Locally Weighted Support Vector Regression

(2010) Ehab E Elattar et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE

Forecasting time series using a methodology based on autoregressive integrated moving average and genetic programming

(2010) Yi-Shian Lee et al.   KNOWLEDGE-BASED SYSTEMS

Short-Term Load Forecast of Microgrids by a New Bilevel Prediction Strategy

(2010) Nima Amjady et al.   IEEE Transactions on Smart Grid

Power load forecasting using support vector machine and ant colony optimization

(2009) Dongxiao Niu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Multiregion Load Forecasting for System With Large Geographical Area

(2009) Shu Fan et al.   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

Normalized Mutual Information Feature Selection

(2009) P.A. Estevez et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Short-Term Load Forecasting: Similar Day-Based Wavelet Neural Networks

(2009) Ying Chen et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Electricity demand loads modeling using AutoRegressive Moving Average (ARMA) models

(2008) S.Sp. Pappas et al.   ENERGY

Short-term load forecasting of power systems by combination of wavelet transform and neuro-evolutionary algorithm

(2008) N AMJADY et al.   ENERGY

Particle swarm optimization for parameter determination and feature selection of support vector machines

(2007) Shih-Wei Lin et al.   EXPERT SYSTEMS WITH APPLICATIONS