An interpretable probabilistic model for short-term solar power forecasting using natural gradient boosting

Comparative analysis on predictability of natural ventilation rate based on machine learning algorithms

(2021) Hansaem Park et al.   BUILDING AND ENVIRONMENT

Aggregated short-term load forecasting for heterogeneous buildings using machine learning with peak estimation

(2021) Amine Bellahsen et al.   ENERGY AND BUILDINGS

Bayesian bootstrapping in real-time probabilistic photovoltaic power forecasting

(2021) Mokhtar Bozorg et al.   SOLAR ENERGY

A Combination Interval Prediction Model Based on Biased Convex Cost Function and Auto-Encoder in Solar Power Prediction

(2021) Huan Long et al.   IEEE Transactions on Sustainable Energy

Gradient boosting and Shapley additive explanations for fraud detection in electricity distribution grids

(2021) Ricardo N. Santos et al.   International Transactions on Electrical Energy Systems

Explainable extreme gradient boosting tree-based prediction of load-carrying capacity of FRP-RC columns

(2021) Abdoulaye Sanni Bakouregui et al.   ENGINEERING STRUCTURES

A Novel Ensemble Algorithm for Solar Power Forecasting Based on Kernel Density Estimation

(2020) Mohamed Lotfi et al.   Energies

Probabilistic solar power forecasting based on weather scenario generation

(2020) Mucun Sun et al.   APPLIED ENERGY

The Schaake Shuffle Technique to Combine Solar and Wind Power Probabilistic Forecasting

(2020) Stefano Alessandrini et al.   Energies

A review and evaluation of the state-of-the-art in PV solar power forecasting: Techniques and optimization

(2020) R. Ahmed et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Benchmark probabilistic solar forecasts: Characteristics and recommendations

(2020) Kate Doubleday et al.   SOLAR ENERGY

A gradient boost approach for predicting near-road ultrafine particle concentrations using detailed traffic characterization

(2020) Junshi Xu et al.   ENVIRONMENTAL POLLUTION

Prediction Intervals Estimation of Solar Generation Based on Gated Recurrent Unit and Kernel Density Estimation

(2020) Cheng Pan et al.   NEUROCOMPUTING

Probabilistic Solar Power Forecasting Using Bayesian Model Averaging

(2020) Kate Doubleday et al.   IEEE Transactions on Sustainable Energy

Solar Power Interval Prediction via Lower and Upper Bound Estimation with a New Model Initialization Approach

(2019) Li et al.   Energies

A review of deep learning for renewable energy forecasting

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

Performance Evaluation of Probabilistic Methods Based on Bootstrap and Quantile Regression to Quantify PV Power Point Forecast Uncertainty

(2019) Yuxin Wen et al.   IEEE Transactions on Neural Networks and Learning Systems

Probabilistic forecasting of electricity consumption, photovoltaic power generation and net demand of an individual building using Gaussian Processes

(2018) D.W. van der Meer et al.   APPLIED ENERGY

Prediction of short-term PV power output and uncertainty analysis

(2018) Luyao Liu et al.   APPLIED ENERGY

Forecasting of photovoltaic power generation and model optimization: A review

(2018) Utpal Kumar Das et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Review on probabilistic forecasting of photovoltaic power production and electricity consumption

(2018) D.W. van der Meer et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Interval prediction of solar power using an Improved Bootstrap method

(2018) Kaiwen Li et al.   SOLAR ENERGY

Probabilistic forecasting of solar power, electricity consumption and net load: Investigating the effect of seasons, aggregation and penetration on prediction intervals

(2018) D.W. van der Meer et al.   SOLAR ENERGY

Probabilistic forecasting of day-ahead solar irradiance using quantile gradient boosting

(2018) Hadrien Verbois et al.   SOLAR ENERGY

Explainable machine-learning predictions for the prevention of hypoxaemia during surgery

(2018) Scott M. Lundberg et al.   Nature Biomedical Engineering

Probabilistic Solar Forecasting Using Quantile Regression Models

(2017) Philippe Lauret et al.   Energies

Sensitivity analysis of implicit correlations for photovoltaic module temperature: A review

(2017) Can Coskun et al.   JOURNAL OF CLEANER PRODUCTION

Multi-site solar power forecasting using gradient boosted regression trees

(2017) Caroline Persson et al.   SOLAR ENERGY

An ensemble prediction intervals approach for short-term PV power forecasting

(2017) Qiang Ni et al.   SOLAR ENERGY

Improving Renewable Energy Forecasting With a Grid of Numerical Weather Predictions

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

Nonparametric short-term probabilistic forecasting for solar radiation

(2016) Adrian Grantham et al.   SOLAR ENERGY

An analog ensemble for short-term probabilistic solar power forecast

(2015) S. Alessandrini et al.   APPLIED ENERGY

Probabilistic wind power forecasting based on logarithmic transformation and boundary kernel

(2015) Yao Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

On the Use of Maximum Likelihood and Input Data Similarity to Obtain Prediction Intervals for Forecasts of Photovoltaic Power Generation

(2015) Joao Gari da Silva Fonseca Junior et al.   Journal of Electrical Engineering & Technology

Probabilistic Forecasting

(2014) Tilmann Gneiting et al.   Annual Review of Statistics and Its Application

Bayesian rules and stochastic models for high accuracy prediction of solar radiation

(2013) Cyril Voyant et al.   APPLIED ENERGY

A Bayesian Method for Short-Term Probabilistic Forecasting of Photovoltaic Generation in Smart Grid Operation and Control

(2013) Antonio Bracale et al.   Energies

Effect of dust, humidity and air velocity on efficiency of photovoltaic cells

(2012) S. Mekhilef et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Reserve Requirements for Wind Power Integration: A Scenario-Based Stochastic Programming Framework

(2011) A. Papavasiliou et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals

(2010) A Khosravi et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Irradiance Forecasting for the Power Prediction of Grid-Connected Photovoltaic Systems

(2009) Elke Lorenz et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Ensemble-based probabilistic forecasting at Horns Rev

(2008) Pierre Pinson et al.   WIND ENERGY