Wavelet Decomposition and Convolutional LSTM Networks Based Improved Deep Learning Model for Solar Irradiance Forecasting

Time-Section Fusion Pattern Classification Based Day-Ahead Solar Irradiance Ensemble Forecasting Model Using Mutual Iterative Optimization

(2018) Fei Wang et al.   Energies

A Distributed PV System Capacity Estimation Approach Based on Support Vector Machine with Customer Net Load Curve Features

(2018) Fei Wang et al.   Energies

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

(2018) Xiangyun Qing et al.   ENERGY

Image phase shift invariance based cloud motion displacement vector calculation method for ultra-short-term solar PV power forecasting

(2018) Fei Wang et al.   ENERGY CONVERSION AND MANAGEMENT

Multi-Objective Optimization Model of Source–Load–Storage Synergetic Dispatch for a Building Energy Management System Based on TOU Price Demand Response

(2018) Fei Wang et al.   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

Recent advances in convolutional neural networks

(2018) Jiuxiang Gu et al.   PATTERN RECOGNITION

Forecasting daily global solar irradiance generation using machine learning

(2018) Amandeep Sharma et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Novel short term solar irradiance forecasting models

(2018) Emre Akarslan et al.   RENEWABLE ENERGY

History and trends in solar irradiance and PV power forecasting: A preliminary assessment and review using text mining

(2018) Dazhi Yang et al.   SOLAR ENERGY

Synchronous Pattern Matching Principle Based Residential Demand Response Baseline Estimation: Mechanism Analysis and Approach Description

(2018) Fei Wang et al.   IEEE Transactions on Smart Grid

A Short-Term Photovoltaic Power Prediction Model Based on the Gradient Boost Decision Tree

(2018) Jidong Wang et al.   Applied Sciences-Basel

A Novel Image Feature for the Remaining Useful Lifetime Prediction of Bearings Based on Continuous Wavelet Transform and Convolutional Neural Network

(2018) Youngji Yoo et al.   Applied Sciences-Basel

Predicting Human Behaviour with Recurrent Neural Networks

(2018) Aitor Almeida et al.   Applied Sciences-Basel

Search Improvement Process-Chaotic Optimization-Particle Swarm Optimization-Elite Retention Strategy and Improved Combined Cooling-Heating-Power Strategy Based Two-Time Scale Multi-Objective Optimization Model for Stand-Alone Microgrid Operation

(2017) Fei Wang et al.   Energies

Day-ahead natural gas demand forecasting based on the combination of wavelet transform and ANFIS/genetic algorithm/neural network model

(2017) Ioannis P. Panapakidis et al.   ENERGY

Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks

(2017) Rui Zhao et al.   SENSORS

Short-term solar radiation forecasting by advecting and diffusing MSG cloud index

(2017) Clara Arbizu-Barrena et al.   SOLAR ENERGY

Dynamic Price Vector Formation Model-Based Automatic Demand Response Strategy for PV-Assisted EV Charging Stations

(2017) Qifang Chen et al.   IEEE Transactions on Smart Grid

Classification of Architectural Heritage Images Using Deep Learning Techniques

(2017) Jose Llamas et al.   Applied Sciences-Basel

Comparative Study on KNN and SVM Based Weather Classification Models for Day Ahead Short Term Solar PV Power Forecasting

(2017) Fei Wang et al.   Applied Sciences-Basel

Correlation Feature Selection and Mutual Information Theory Based Quantitative Research on Meteorological Impact Factors of Module Temperature for Solar Photovoltaic Systems

(2016) Yujing Sun et al.   Energies

Hybrid machine learning forecasting of solar radiation values

(2016) Yvonne Gala et al.   NEUROCOMPUTING

Machine learning for solar irradiance forecasting of photovoltaic system

(2016) Jiaming Li et al.   RENEWABLE ENERGY

Solar irradiance feature extraction and support vector machines based weather status pattern recognition model for short-term photovoltaic power forecasting

(2015) Fei Wang et al.   ENERGY AND BUILDINGS

Improved model output statistics of numerical weather prediction based irradiance forecasts for solar power applications

(2015) Remco A. Verzijlbergh et al.   SOLAR ENERGY

A review of unsupervised feature learning and deep learning for time-series modeling

(2014) Martin Längkvist et al.   PATTERN RECOGNITION LETTERS

A Weather-Based Hybrid Method for 1-Day Ahead Hourly Forecasting of PV Power Output

(2014) Hong-Tzer Yang et al.   IEEE Transactions on Sustainable Energy

Optimizing Re-planning Operation for Smart House Applying Solar Radiation Forecasting

(2014) Atsushi Yona et al.   Applied Sciences-Basel

Solar forecasting methods for renewable energy integration

(2013) Rich H. Inman et al.   PROGRESS IN ENERGY AND COMBUSTION SCIENCE

Review of solar irradiance forecasting methods and a proposition for small-scale insular grids

(2013) Maimouna Diagne et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Short-Term Solar Irradiance Forecasting Model Based on Artificial Neural Network Using Statistical Feature Parameters

(2012) Fei Wang et al.   Energies

Short-term solar power prediction using a support vector machine

(2012) Jianwu Zeng et al.   RENEWABLE ENERGY

Optimization methods applied to renewable and sustainable energy: A review

(2011) R. Baños et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Forecasting of global and direct solar irradiance using stochastic learning methods, ground experiments and the NWS database

(2011) Ricardo Marquez et al.   SOLAR ENERGY

Online short-term solar power forecasting

(2009) Peder Bacher et al.   SOLAR ENERGY

Predicting solar radiation at high resolutions: A comparison of time series forecasts

(2008) Gordon Reikard   SOLAR ENERGY