Estimation and prediction of Jatropha cultivation areas in China and India

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

(2020) Michelle Sapitang et al.   Sustainability

A Two-Step Approach to Solar Power Generation Prediction Based on Weather Data Using Machine Learning

(2019) Seul-Gi Kim et al.   Sustainability

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

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

A benders-local branching algorithm for second-generation biodiesel supply chain network design under epistemic uncertainty

(2019) Reza Babazadeh et al.   COMPUTERS & CHEMICAL ENGINEERING

A Dual-Step Integrated Machine Learning Model for 24h-Ahead Wind Energy Generation Prediction Based on Actual Measurement Data and Environmental Factors

(2019) Yuan-Jia Ma et al.   Applied Sciences-Basel

Prediction of higher heating value of biomass materials based on proximate analysis using gradient boosted regression trees method

(2019) Seyed Hashem Samadi et al.   Energy Sources Part A-Recovery Utilization and Environmental Effects

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

Renewable energy prediction: A novel short-term prediction model of photovoltaic output power

(2019) Ling-Ling Li et al.   JOURNAL OF CLEANER PRODUCTION

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

(2019) Yuchi Sun et al.   SOLAR ENERGY

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

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

Exploiting Deep Learning for Wind Power Forecasting Based on Big Data Analytics

(2019) Sana Mujeeb et al.   Applied Sciences-Basel

Representation learning with extreme learning machines and empirical mode decomposition for wind speed forecasting methods

(2019) Hao-Fan Yang et al.   ARTIFICIAL INTELLIGENCE

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

(2019) Muhammad Aslam et al.   Energies

A Robust Prognostic Indicator for Renewable Energy Technologies: A Novel Error Correction Grey Prediction Model

(2019) Daming Zhou et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

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

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

Wind Speed Prediction with Spatio–Temporal Correlation: A Deep Learning Approach

(2018) Qiaomu Zhu et al.   Energies

A Model Combining Stacked Auto Encoder and Back Propagation Algorithm for Short-Term Wind Power Forecasting

(2018) Runhai Jiao et al.   IEEE Access

Spatial prediction of renewable energy resources for reinforcing and expanding power grids

(2018) BeomJun Park et al.   ENERGY

Artificial neural networks to predict energy performance and retrofit scenarios for any member of a building category: A novel approach

(2017) Fabrizio Ascione et al.   ENERGY

Comparison of prediction methods of photovoltaic power system production using a measured dataset

(2017) Hussein A. Kazem et al.   ENERGY CONVERSION AND MANAGEMENT

Intelligent and robust prediction of short term wind power using genetic programming based ensemble of neural networks

(2017) Aneela Zameer et al.   ENERGY CONVERSION AND MANAGEMENT

Analysis and validation of 24 hours ahead neural network forecasting of photovoltaic output power

(2017) S. Leva et al.   MATHEMATICS AND COMPUTERS IN SIMULATION

Regression tree ensembles for wind energy and solar radiation prediction

(2017) Alberto Torres-Barrán et al.   NEUROCOMPUTING

Models for forecasting growth trends in renewable energy

(2017) Sang-Bing Tsai et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Hydropower Optimization Using Artificial Neural Network Surrogate Models of a High-Fidelity Hydrodynamics and Water Quality Model

(2017) Amelia R. Shaw et al.   WATER RESOURCES RESEARCH

Improving Renewable Energy Forecasting With a Grid of Numerical Weather Predictions

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

International experiences with the cultivation of Jatropha curcas for biodiesel production

(2016) Nirza Fabiola Castro Gonzáles   ENERGY

A new approach in maximizing and direct utilization of whole Jatropha curcas L. kernels in biodiesel production – Technological improvement

(2016) Alchris Woo Go et al.   RENEWABLE ENERGY

Hourly global solar irradiation forecasting for New Zealand

(2015) A. Ahmad et al.   SOLAR ENERGY

Esterification of oily-FFA and transesterification of high FFA waste oils using novel palm trunk and bagasse-derived catalysts

(2014) Francis Ezebor et al.   ENERGY CONVERSION AND MANAGEMENT

Production and comparative fuel properties of biodiesel from non-edible oils: Jatropha curcas, Sterculia foetida and Ceiba pentandra

(2013) H.C. Ong et al.   ENERGY CONVERSION AND MANAGEMENT

Biodiesel production from jatropha seeds: Solvent extraction and in situ transesterification in a single step

(2013) I. Amalia Kartika et al.   FUEL

Prediction of water quality parameters of Karoon River (Iran) by artificial intelligence-based models

(2013) S. Emamgholizadeh et al.   International Journal of Environmental Science and Technology

Phase equilibria modeling of binary systems containing ethanol using optimal feedforward neural network

(2013) B. Vaferi et al.   JOURNAL OF SUPERCRITICAL FLUIDS

Optimum estimation and forecasting of renewable energy consumption by artificial neural networks

(2013) A. Azadeh et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Extension of energy crops on surplus agricultural lands: A potentially viable option in developing countries while fossil fuel reserves are diminishing

(2013) Md. Mizanur Rahman et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Biodiesel from microalgae: A critical evaluation from laboratory to large scale production

(2012) I. Rawat et al.   APPLIED ENERGY

Agro-technology of Jatropha curcas for diverse environmental conditions in India

(2012) Bajrang Singh et al.   BIOMASS & BIOENERGY

Potential non-edible oil resources as biodiesel feedstock: An Indian perspective

(2011) Ashwani Kumar et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Simulation and optimization of stand-alone hybrid renewable energy systems

(2009) José L. Bernal-Agustín et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Prospects of biodiesel from Jatropha in India: A review

(2009) Siddharth Jain et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Characteristics and composition of Jatropha gossypiifoliaand Jatropha curcas L. oils and application for biodiesel production

(2008) Jefferson S. de Oliveira et al.   BIOMASS & BIOENERGY