AB-Net: A Novel Deep Learning Assisted Framework for Renewable Energy Generation Forecasting

Sequential Learning-Based Energy Consumption Prediction Model for Residential and Commercial Sectors

(2021) Ijaz Ul Haq et al.   Mathematics

Hybrid model with secondary decomposition, randomforest algorithm, clustering analysis and long short memory network principal computing for short-term wind power forecasting on multiple scales

(2021) zexian Sun et al.   ENERGY

Commercial Vacancy Prediction Using LSTM Neural Networks

(2021) Jaekuyng Lee et al.   Sustainability

Diving Deep into Short-Term Electricity Load Forecasting: Comparative Analysis and a Novel Framework

(2021) Fath U Min Ullah et al.   Mathematics

A survey on deep learning methods for power load and renewable energy forecasting in smart microgrids

(2021) Sheraz Aslam et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

DB-Net: A novel dilated CNN based multi-step forecasting model for power consumption in integrated local energy systems

(2021) Noman Khan et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Energy systems for climate change mitigation: A systematic review

(2020) Jia-Ning Kang et al.   APPLIED ENERGY

A hybrid wind speed forecasting model using stacked autoencoder and LSTM

(2020) K. U. Jaseena et al.   Journal of Renewable and Sustainable Energy

A deep learning-based forecasting model for renewable energy scenarios to guide sustainable energy policy: A case study of Korea

(2020) KiJeon Nam et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Effective long short-term memory with fruit fly optimization algorithm for time series forecasting

(2020) Lu Peng et al.   SOFT COMPUTING

A review on renewable energy and electricity requirement forecasting models for smart grid and buildings

(2020) Tanveer Ahmad et al.   Sustainable Cities and Society

Environmental and economic multi-objective optimization of a household level hybrid renewable energy system by genetic algorithm

(2020) Martin János Mayer et al.   APPLIED ENERGY

Forecasting energy consumption and wind power generation using deep echo state network

(2020) Huanling Hu et al.   RENEWABLE ENERGY

Machine Learning Application in Reservoir Water Level Forecasting for Sustainable Hydropower Generation Strategy

(2020) Michelle Sapitang et al.   Sustainability

SD-Net: Understanding overcrowded scenes in real-time via an efficient dilated convolutional neural network

(2020) Noman Khan et al.   Journal of Real-Time Image Processing

Novel Mode Adaptive Artificial Neural Network for Dynamic Learning: Application in Renewable Energy Sources Power Generation Prediction

(2020) Muhammad Ahsan Zamee et al.   Energies

Prediction of Hydropower Generation Using Grey Wolf Optimization Adaptive Neuro-Fuzzy Inference System

(2019) Majid Dehghani et al.   Energies

Repeated wavelet transform based ARIMA model for very short-term wind speed forecasting

(2019) Aasim et al.   RENEWABLE ENERGY

Hydrogen production via biomass gasification, and modeling by supervised machine learning algorithms

(2019) Emine Elmaslar Ozbas et al.   INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

Big data solar power forecasting based on deep learning and multiple data sources

(2019) José F. Torres et al.   EXPERT SYSTEMS

On post-processing day-ahead NWP forecasts using Kalman filtering

(2019) Dazhi Yang   SOLAR ENERGY

Machine-learning methods for integrated renewable power generation: A comparative study of artificial neural networks, support vector regression, and Gaussian Process Regression

(2019) Mahdi Sharifzadeh et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

“Dust in the Wind...”, Deep Learning Application to Wind Energy Time Series Forecasting

(2019) Jaume Manero et al.   Energies

A New Hybrid Approach to Forecast Wind Power for Large Scale Wind Turbine Data Using Deep Learning with TensorFlow Framework and Principal Component Analysis

(2019) Mansoor Khan et al.   Energies

Short-term solar power forecast with deep learning: Exploring optimal input and output configuration

(2019) Yuchi Sun et al.   SOLAR ENERGY

Multi-agent based multi objective renewable energy management for diversified community power consumers

(2019) Linyun Xiong et al.   APPLIED ENERGY

A combined forecasting model for time series: Application to short-term wind speed forecasting

(2019) Zhenkun Liu et al.   APPLIED ENERGY

Wind power forecasting based on daily wind speed data using machine learning algorithms

(2019) Halil Demolli et al.   ENERGY CONVERSION AND MANAGEMENT

A review of deep learning for renewable energy forecasting

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

Hybrid pumped hydro and battery storage for renewable energy based power supply system

(2019) Muhammad Shahzad Javed et al.   APPLIED ENERGY

Deep Learning Models for Long-Term Solar Radiation Forecasting Considering Microgrid Installation: A Comparative Study

(2019) Muhammad Aslam et al.   Energies

Assessment of Deep Learning techniques for Prognosis of solar thermal systems

(2019) Camila Correa-Jullian et al.   RENEWABLE ENERGY

Comparison of support vector machine and copula-based nonlinear quantile regression for estimating the daily diffuse solar radiation: A case study in China

(2019) Yanfeng Liu et al.   RENEWABLE ENERGY

The combined value of wind and solar power forecasting improvements and electricity storage

(2018) Bri-Mathias Hodge et al.   APPLIED ENERGY

Time-series prediction of wind speed using machine learning algorithms: A case study Osorio wind farm, Brazil

(2018) A. Khosravi et al.   APPLIED ENERGY

Short-term wind speed forecasting based on improved ant colony algorithm for LSSVM

(2018) Yanan Li et al.   Cluster Computing-The Journal of Networks Software Tools and Applications

Smart deep learning based wind speed prediction model using wavelet packet decomposition, convolutional neural network and convolutional long short term memory network

(2018) Hui Liu et al.   ENERGY CONVERSION AND MANAGEMENT

An Optimal Operation Model for Hydropower Stations Considering Inflow Forecasts with Different Lead-Times

(2018) Xiaoli Zhang et al.   WATER RESOURCES MANAGEMENT

Robust functional regression for wind speed forecasting based on Sparse Bayesian learning

(2018) Yun Wang et al.   RENEWABLE ENERGY

Historical trends in global energy policy and renewable power system issues in Sub-Saharan Africa: The case of solar PV

(2018) Benjamin Pillot et al.   ENERGY POLICY

Sky image-based solar irradiance prediction methodologies using artificial neural networks

(2018) Jane Oktavia Kamadinata et al.   RENEWABLE ENERGY

A Combined Prognostic Model Based on Machine Learning for Tidal Current Prediction

(2017) Abdollah Kavousi-Fard et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Regression tree ensembles for wind energy and solar radiation prediction

(2017) Alberto Torres-Barrán et al.   NEUROCOMPUTING

Very short-term photovoltaic power forecasting with cloud modeling: A review

(2017) Florian Barbieri et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Improving Renewable Energy Forecasting With a Grid of Numerical Weather Predictions

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

Greener plug-in hybrid electric vehicles incorporating renewable energy and rapid system optimization

(2016) Xiaosong Hu et al.   ENERGY

Rainfall forecasting by technological machine learning models

(2008) Wei-Chiang Hong   APPLIED MATHEMATICS AND COMPUTATION