Optimal Deep Learning LSTM Model for Electric Load Forecasting using Feature Selection and Genetic Algorithm: Comparison with Machine Learning Approaches †

Predicting electricity consumption for commercial and residential buildings using deep recurrent neural networks

(2018) Aowabin Rahman et al.   APPLIED ENERGY

A review of data-driven approaches for prediction and classification of building energy consumption

(2018) Yixuan Wei et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

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

(2017) Huiting Zheng et al.   Energies

A review and analysis of regression and machine learning models on commercial building electricity load forecasting

(2017) B. Yildiz et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A review of artificial intelligence based building energy use prediction: Contrasting the capabilities of single and ensemble prediction models

(2017) Zeyu Wang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Deep Neural Network Based Demand Side Short Term Load Forecasting

(2016) Seunghyoung Ryu et al.   Energies

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

(2014) Nian Liu et al.   APPLIED ENERGY

A Survey on Electric Power Demand Forecasting: Future Trends in Smart Grids, Microgrids and Smart Buildings

(2014) Luis Hernandez et al.   IEEE Communications Surveys and Tutorials

Short-Term Load Forecasting for Microgrids Based on Artificial Neural Networks

(2013) Luis Hernandez et al.   Energies

Representation Learning: A Review and New Perspectives

(2013) Y. Bengio et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A CLUSTERING-BASED FUZZY WAVELET NEURAL NETWORK MODEL FOR SHORT-TERM LOAD FORECASTING

(2013) VASSILIS S. KODOGIANNIS et al.   International Journal of Neural Systems

State of the art in building modelling and energy performances prediction: A review

(2013) Aurélie Foucquier et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A review on the prediction of building energy consumption

(2012) Hai-xiang Zhao et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Deep Belief Networks Are Compact Universal Approximators

(2010) Nicolas Le Roux et al.   NEURAL COMPUTATION

Evolutionary algorithms for the selection of time lags for time series forecasting by fuzzy inference systems

(2010) Kristina Lukoseviciute et al.   NEUROCOMPUTING

Long-term electricity demand forecasting for power system planning using economic, demographic and climatic variables

(2009) F. Chui et al.   European Journal of Industrial Engineering

Traffic optimization in transport networks based on local routing

(2009) S. Scellato et al.   EUROPEAN PHYSICAL JOURNAL B

Applying Wavelets to Short-Term Load Forecasting Using PSO-Based Neural Networks

(2009) Z.A. Bashir et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Density Forecasting for Long-Term Peak Electricity Demand

(2009) Rob J. Hyndman et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Day ahead price forecasting of electricity markets by a mixed data model and hybrid forecast method

(2008) Nima Amjady et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS