Applying load profiles propagation to machine learning based electrical energy forecasting

Electrical Energy Demand Forecasting Model Development and Evaluation with Maximum Overlap Discrete Wavelet Transform-Online Sequential Extreme Learning Machines Algorithms

(2020) Mohanad S. Al-Musaylh et al.   Energies

Short-term load forecasting by using a combined method of convolutional neural networks and fuzzy time series

(2019) Hossein Javedani Sadaei et al.   ENERGY

Predicting residential energy consumption using CNN-LSTM neural networks

(2019) Tae-Young Kim et al.   ENERGY

Electric load forecasting by complete ensemble empirical mode decomposition adaptive noise and support vector regression with quantum-based dragonfly algorithm

(2019) Zichen Zhang et al.   NONLINEAR DYNAMICS

Neural network model for short-term and very-short-term load forecasting in district buildings

(2019) Hanane Dagdougui et al.   ENERGY AND BUILDINGS

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

Two-phase particle swarm optimized-support vector regression hybrid model integrated with improved empirical mode decomposition with adaptive noise for multiple-horizon electricity demand forecasting

(2018) Mohanad S. AL-Musaylh et al.   APPLIED ENERGY

A High Precision Artificial Neural Networks Model for Short-Term Energy Load Forecasting

(2018) Ping-Huan Kuo et al.   Energies

A Hybrid Seasonal Mechanism with a Chaotic Cuckoo Search Algorithm with a Support Vector Regression Model for Electric Load Forecasting

(2018) Yongquan Dong et al.   Energies

A two-stage short-term load forecasting approach using temperature daily profiles estimation

(2018) Kheir Eddine Farfar et al.   NEURAL COMPUTING & APPLICATIONS

Forecasting methods in energy planning models

(2018) Kumar Biswajit Debnath et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

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

Forecasting long-term global solar radiation with an ANN algorithm coupled with satellite-derived (MODIS) land surface temperature (LST) for regional locations in Queensland

(2017) Ravinesh C. Deo et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

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

Building electrical energy consumption forecasting analysis using conventional and artificial intelligence methods: A review

(2017) Mohammad Azhar Mat Daut et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Short-term forecasting of electricity demand for the residential sector using weather and social variables

(2017) Hyojoo Son et al.   RESOURCES CONSERVATION AND RECYCLING

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

(2016) A. Ghasemi et al.   APPLIED ENERGY

Load forecasting, dynamic pricing and DSM in smart grid: A review

(2016) Ahsan Raza Khan et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Flexibility in future power systems with high renewable penetration: A review

(2016) M.I. Alizadeh et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Day-ahead load forecast using random forest and expert input selection

(2015) A. Lahouar et al.   ENERGY CONVERSION AND MANAGEMENT

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

Identification of chilling and heat requirements of cherry trees—a statistical approach

(2012) Eike Luedeling et al.   INTERNATIONAL JOURNAL OF BIOMETEOROLOGY

Climate Change Affects Winter Chill for Temperate Fruit and Nut Trees

(2011) Eike Luedeling et al.   PLoS One