Machine Learning-Based Approach to Predict Energy Consumption of Renewable and Nonrenewable Power Sources

Multiple Site Intraday Solar Irradiance Forecasting by Machine Learning Algorithms: MGGP and MLP Neural Networks

(2020) Gabriel Mendonça de Paiva et al.   Energies

Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection

(2019) Omid Ghorbanzadeh et al.   Remote Sensing

Transitioning Island Energy Systems—Local Conditions, Development Phases, and Renewable Energy Integration

(2019) Hannah Mareike Marczinkowski et al.   Energies

A review of deep learning for renewable energy forecasting

(2019) Huaizhi Wang et al.   ENERGY CONVERSION AND MANAGEMENT

Hybrid Ensemble Deep Learning for Deterministic and Probabilistic Low-Voltage Load Forecasting

(2019) Zhaojing Cao et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Research and Application of a Hybrid Wind Energy Forecasting System Based on Data Processing and an Optimized Extreme Learning Machine

(2018) Rui Wang et al.   Energies

A New Input Selection Algorithm Using the Group Method of Data Handling and Bootstrap Method for Support Vector Regression Based Hourly Load Forecasting

(2018) Jungwon Yu et al.   Energies

A Two-layer Energy Management System for Microgrids with Hybrid Energy Storage considering Degradation Costs

(2017) Chengquan Ju et al.   IEEE Transactions on Smart Grid

A Hybrid Algorithm for Short-Term Solar Power Prediction—Sunshine State Case Study

(2017) Arash Asrari et al.   IEEE Transactions on Sustainable Energy

A Review of Classification Problems and Algorithms in Renewable Energy Applications

(2016) María Pérez-Ortiz et al.   Energies

Extreme Learning Machine for Multilayer Perceptron

(2016) Jiexiong Tang et al.   IEEE Transactions on Neural Networks and Learning Systems

A review on applications of ANN and SVM for building electrical energy consumption forecasting

(2014) A.S. Ahmad et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A hybrid forecasting approach applied to wind speed time series

(2013) Jianming Hu et al.   RENEWABLE ENERGY

Hybrid Wavelet-PSO-ANFIS Approach for Short-Term Wind Power Forecasting in Portugal

(2010) J. P. S. Catalao et al.   IEEE Transactions on Sustainable Energy