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

Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia

(2018) Mohanad S. Al-Musaylh et al.   ADVANCED ENGINEERING INFORMATICS

Short-Term Residential Load Forecasting Based on Resident Behaviour Learning

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

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

A Short-Term and High-Resolution Distribution System Load Forecasting Approach Using Support Vector Regression With Hybrid Parameters Optimization

(2018) Huaiguang Jiang et al.   IEEE Transactions on Smart Grid

Artificial Immune System With Local Feature Selection for Short-Term Load Forecasting

(2017) Grzegorz Dudek   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

An Accurate and Fast Converging Short-Term Load Forecasting Model for Industrial Applications in a Smart Grid

(2017) Ashfaq Ahmad et al.   IEEE Transactions on Industrial Informatics

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

Incorporating Appliance Usage Patterns for Non-Intrusive Load Monitoring and Load Forecasting

(2017) Shirantha Welikala et al.   IEEE Transactions on Smart Grid

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

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

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

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

A novel hybrid algorithm for electricity price and load forecasting in smart grids with demand-side management

(2016) A. Ghasemi et al.   APPLIED ENERGY

A combined model based on multiple seasonal patterns and modified firefly algorithm for electrical load forecasting

(2016) Liye Xiao et al.   APPLIED ENERGY

Support vector regression with fruit fly optimization algorithm for seasonal electricity consumption forecasting

(2016) Guohua Cao et al.   ENERGY

Neural Network-Based Model Design for Short-Term Load Forecast in Distribution Systems

(2016) Ni Ding et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Forecasting electricity load by a novel recurrent extreme learning machines approach

(2016) Ömer Faruk Ertugrul   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Short-term load forecasting by wavelet transform and evolutionary extreme learning machine

(2015) Song Li et al.   ELECTRIC POWER SYSTEMS RESEARCH

A cost-efficient and reliable energy management of a micro-grid using intelligent demand-response program

(2015) Hossein Safamehr 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

Short term load forecasting using a hybrid intelligent method

(2015) Adel Abdoos 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

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

A hybrid forecasting model with parameter optimization for short-term load forecasting of micro-grids

(2014) Nian Liu et al.   APPLIED ENERGY

Artificial Neural Network for Short-Term Load Forecasting in Distribution Systems

(2014) Luis Hernández et al.   Energies

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

Data-intensive applications, challenges, techniques and technologies: A survey on Big Data

(2014) C.L. Philip Chen et al.   INFORMATION SCIENCES

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 Smart Grid Systems by Combination of General Regression Neural Network and Least Squares-Support Vector Machine Algorithm Optimized by Harmony Search Algorithm Method

(2013) Ming Zeng et al.   Applied Mathematics & Information Sciences

Long Term Probabilistic Load Forecasting and Normalization With Hourly Information

(2013) Tao Hong et al.   IEEE Transactions on Smart Grid

Forecasting for demand response in smart grids: An analysis on use of anthropologic and structural data and short term multiple loads forecasting

(2012) Fahad Javed et al.   APPLIED ENERGY

A study on particle swarm optimization and artificial bee colony algorithms for multilevel thresholding

(2012) Bahriye Akay   APPLIED SOFT COMPUTING

Application of SOM neural networks to short-term load forecasting: The Spanish electricity market case study

(2012) M. López et al.   ELECTRIC POWER SYSTEMS RESEARCH

Annual Electric Load Forecasting by a Least Squares Support Vector Machine with a Fruit Fly Optimization Algorithm

(2012) Hongze Li et al.   Energies

Predicting future hourly residential electrical consumption: A machine learning case study

(2012) Richard E. Edwards et al.   ENERGY AND BUILDINGS

Multiobjective Intelligent Energy Management for a Microgrid

(2012) A. Chaouachi et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

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

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

Very Short-Term Load Forecasting: Wavelet Neural Networks With Data Pre-Filtering

(2012) Che Guan et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

A hybrid annual power load forecasting model based on generalized regression neural network with fruit fly optimization algorithm

(2012) Hong-ze Li et al.   KNOWLEDGE-BASED SYSTEMS

Demand Side Management in Smart Grid Using Heuristic Optimization

(2012) Thillainathan Logenthiran et al.   IEEE Transactions on Smart Grid

Electric load forecasting by seasonal recurrent SVR (support vector regression) with chaotic artificial bee colony algorithm

(2011) Wei-Chiang Hong   ENERGY

Forecasting building energy consumption using neural networks and hybrid neuro-fuzzy system: A comparative study

(2011) Kangji Li et al.   ENERGY AND BUILDINGS

A new Fruit Fly Optimization Algorithm: Taking the financial distress model as an example

(2011) Wen-Tsao Pan   KNOWLEDGE-BASED SYSTEMS

Smart meters for power grid: Challenges, issues, advantages and status

(2011) Soma Shekara Sreenadh Reddy Depuru et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Energy Time Series Forecasting Based on Pattern Sequence Similarity

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

Construction of Optimal Prediction Intervals for Load Forecasting Problems

(2010) Abbas Khosravi 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

Firefly algorithm, stochastic test functions and design optimisation

(2010) Xin She Yang   International Journal of Bio-Inspired Computation

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

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

Autonomous Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid

(2010) Amir-Hamed Mohsenian-Rad et al.   IEEE Transactions on Smart Grid

Applying support vector machine to predict hourly cooling load in the building

(2009) Qiong Li et al.   APPLIED ENERGY

Long term electric load forecasting based on particle swarm optimization

(2009) M.R. AlRashidi et al.   APPLIED ENERGY

Time series prediction using RBF neural networks with a nonlinear time-varying evolution PSO algorithm

(2009) Cheng-Ming Lee et al.   NEUROCOMPUTING

Chaotic particle swarm optimization algorithm in a support vector regression electric load forecasting model

(2008) Wei-Chiang Hong   ENERGY CONVERSION AND MANAGEMENT

A Novel hybrid genetic algorithm for kernel function and parameter optimization in support vector regression

(2008) Chih-Hung Wu et al.   EXPERT SYSTEMS WITH APPLICATIONS

RBF Neural Network and ANFIS-Based Short-Term Load Forecasting Approach in Real-Time Price Environment

(2008) Zhang Yun et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Short-term forecasting of Jordanian electricity demand using particle swarm optimization

(2007) Mohammed El-Telbany et al.   ELECTRIC POWER SYSTEMS RESEARCH