Short-Term Forecasting of Photovoltaic Solar Power Production Using Variational Auto-Encoder Driven Deep Learning Approach

Probabilistic solar power forecasting based on weather scenario generation

(2020) Mucun Sun et al.   APPLIED ENERGY

Short-Term Photovoltaic Power Forecasting Using a Convolutional Neural Network–Salp Swarm Algorithm

(2020) Happy Aprillia et al.   Energies

A day-ahead PV power forecasting method based on LSTM-RNN model and time correlation modification under partial daily pattern prediction framework

(2020) Fei Wang et al.   ENERGY CONVERSION AND MANAGEMENT

Malicious attacks detection in crowded areas using deep learning-based approach

(2020) Fouzi Harrou et al.   IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE

Abnormal events detection using deep neural networks: application to extreme sea surface temperature detection in the Red Sea

(2019) Mohamad Mazen Hittawe et al.   JOURNAL OF ELECTRONIC IMAGING

Recurrent Neural Networks Based Photovoltaic Power Forecasting Approach

(2019) Li et al.   Energies

A SARIMA-RVFL hybrid model assisted by wavelet decomposition for very short-term solar PV power generation forecast

(2019) Vishal Kushwaha et al.   RENEWABLE ENERGY

A comparison of day-ahead photovoltaic power forecasting models based on deep learning neural network

(2019) Kejun Wang et al.   APPLIED ENERGY

A hybrid deep learning model for short-term PV power forecasting

(2019) Pengtao Li et al.   APPLIED ENERGY

Deep learning approach for sustainable WWTP operation: A case study on data-driven influent conditions monitoring

(2019) Abdelkader Dairi et al.   Sustainable Cities and Society

A Novel Method for Hourly Electricity Demand Forecasting

(2019) Guoqiang Zhang et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Multiple steps ahead solar photovoltaic power forecasting based on univariate machine learning models and data re-sampling

(2019) Mashud Rana et al.   Sustainable Energy Grids & Networks

Adaptive Residual Compensation Ensemble Models for Improving Solar Energy Generation Forecasting

(2019) Heng-Yi Su et al.   IEEE Transactions on Sustainable Energy

Power Generation Forecast of Hybrid PV–Wind System

(2019) Mohammad Javad Sanjari et al.   IEEE Transactions on Sustainable Energy

Hourly day-ahead solar irradiance prediction using weather forecasts by LSTM

(2018) Xiangyun Qing et al.   ENERGY

Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

(2018) Tom Young et al.   IEEE Computational Intelligence Magazine

Obstacle Detection for Intelligent Transportation Systems Using Deep Stacked Autoencoder and $k$ -Nearest Neighbor Scheme

(2018) Abdelkader Dairi et al.   IEEE SENSORS JOURNAL

Detecting abnormal ozone measurements with a deep learning-based strategy

(2018) Fouzi Harrou et al.   IEEE SENSORS JOURNAL

Short-Term Residential Load Forecasting Based on Resident Behaviour Learning

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

Statistical monitoring of a wastewater treatment plant: A case study

(2018) Fouzi Harrou et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

A Solar Time-based Analog Ensemble Method for Regional Solar Power Forecasting

(2018) Xinmin Zhang et al.   IEEE Transactions on Sustainable Energy

Gated Recurrent Unit Network-Based Short-Term Photovoltaic Forecasting

(2018) Yusen Wang et al.   Energies

Deterministic and probabilistic forecasting of photovoltaic power based on deep convolutional neural network

(2017) Huaizhi Wang et al.   ENERGY CONVERSION AND MANAGEMENT

Improving Renewable Energy Forecasting With a Grid of Numerical Weather Predictions

(2017) Jose R. Andrade et al.   IEEE Transactions on Sustainable Energy

Performance Data from the NIST Photovoltaic Arrays and Weather Station

(2017) Matthew Boyd   JOURNAL OF RESEARCH OF THE NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY

Solar power output forecasting using evolutionary seasonal decomposition least-square support vector regression

(2016) Kuo-Ping Lin et al.   JOURNAL OF CLEANER PRODUCTION

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE

Development of statistical time series models for solar power prediction

(2015) V. Prema et al.   RENEWABLE ENERGY

Improving photovoltaics grid integration through short time forecasting and self-consumption

(2014) D. Masa-Bote et al.   APPLIED ENERGY