Real-time prediction intervals for intra-hour DNI forecasts

No abstract is available for this paper.

• Publication year

  2015

• Venue

  Renewable Energy

• Publication date

  2015-11-01

• Fields of study

  Computer Science, Engineering, Environmental Science

• Identifiers
  DOI 10.1016/J.RENENE.2015.04.022
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• An off-grid hybrid PV/diesel model as a planning and design tool, incorporating dynamic and ANN modelling techniques

  2015cited by this paper
• CPV module electric characterisation by artificial neural networks

  2015cited by this paper
• On the role of lagged exogenous variables and spatio–temporal correlations in improving the accuracy of solar forecasting methods

  2015cited by this paper
• Real-time forecasting of solar irradiance ramps with smart image processing

  2015cited by this paper
• Short-term reforecasting of power output from a 48 MWe solar PV plant

  2015cited by this paper
• Cloud-tracking methodology for intra-hour DNI forecasting

  2014cited by this paper
• Probabilistic forecasts of solar irradiance using stochastic differential equations

  2014cited by this paper
• Verification of the SUNY direct normal irradiance model with ground measurements

  2014cited by this paper
• A Smart Image-Based Cloud Detection System for Intrahour Solar Irradiance Forecasts

  2014cited by this paper
• Streamline-based method for intra-day solar forecasting through remote sensing

  2014cited by this paper
• Hybrid intra-hour DNI forecasts with sky image processing enhanced by stochastic learning

  2013influential reference
• Solar forecasting methods for renewable energy integration

  2013cited by this paper
• Solar power generation by PV (photovoltaic) technology: A review

  2013cited by this paper
• Short-term solar power prediction using a support vector machine

  2013cited by this paper
• Intra-hour DNI forecasting based on cloud tracking image analysis

  2013cited by this paper
• Forecasting of Global Horizontal Irradiance Using Sky Cover Indices

  2013cited by this paper
• A Bayesian Method for Short-Term Probabilistic Forecasting of Photovoltaic Generation in Smart Grid Operation and Control

  2013cited by this paper
• Identifying Wind and Solar Ramping Events

  2013cited by this paper
• Prediction Intervals for Short-Term Wind Farm Power Generation Forecasts

  2013influential reference
• Proposed Metric for Evaluation of Solar Forecasting Models

  2013cited by this paper
• Metrics for Evaluating the Accuracy of Solar Power Forecasting

  2013cited by this paper
• Equipment and methodologies for cloud detection and classification: A review

  2013cited by this paper
• Hybrid solar forecasting method uses satellite imaging and ground telemetry as inputs to ANNs

  2013cited by this paper
• Solar radiation forecast based on fuzzy logic and neural networks

  2013cited by this paper
• Assessment of forecasting techniques for solar power production with no exogenous inputs

  2012cited by this paper
• Overirradiance (Cloud Enhancement) Events at High Latitudes

  2012cited by this paper
• A method for cloud detection and opacity classification based on ground based sky imagery

  2012cited by this paper
• Current methods and advances in forecasting of wind power generation

  2012cited by this paper
• Neural Networks and Their Applications

  2012cited by this paper
• Optimal inverter sizing considering cloud enhancement

  2012cited by this paper
• Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals

  2011cited by this paper
• A Hybrid Thresholding Algorithm for Cloud Detection on Ground-Based Color Images

  2011cited by this paper
• Intra-hour forecasting with a total sky imager at the UC San Diego solar energy testbed

  2011cited by this paper
• Forecasting of global and direct solar irradiance using stochastic learning methods, ground experiments and the NWS database

  2011cited by this paper
• LIBSVM: A library for support vector machines

  2011cited by this paper
• The Use of Euclidean Geometric Distance on RGB Color Space for the Classification of Sky and Cloud Patterns

  2010cited by this paper
• Construction of Optimal Prediction Intervals for Load Forecasting Problems

  2010cited by this paper
• A 24-h forecast of solar irradiance using artificial neural network: Application for performance prediction of a grid-connected PV plant at Trieste, Italy

  2010cited by this paper
• An adaptive model for predicting of global, direct and diffuse hourly solar irradiance

  2010cited by this paper
• Validation of short and medium term operational solar radiation forecasts in the US

  2010cited by this paper
• Solar variability of four sites across the state of Colorado

  2010cited by this paper
• Prediction of global solar irradiance based on time series analysis: Application to solar thermal power plants energy production planning

  2010cited by this paper
• Automatic cloud classification of whole sky images

  2010cited by this paper
• Artificial intelligence techniques for photovoltaic applications: A review

  2008cited by this paper
• Study of hourly and daily solar irradiation forecast using diagonal recurrent wavelet neural networks

  2008cited by this paper
• Neuro-fuzzy dynamic model with Kalman filter to forecast irradiance and temperature for solar energy systems

  2008cited by this paper
• Non‐parametric probabilistic forecasts of wind power: required properties and evaluation

  2007cited by this paper
• Retrieving Cloud Characteristics from Ground-Based Daytime Color All-Sky Images

  2006cited by this paper
• A Simple Method for the Assessment of the Cloud Cover State in High-Latitude Regions by a Ground-Based Digital Camera

  2006cited by this paper
• Forecasting based on neural network approach of solar potential in Turkey

  2005cited by this paper
• Classification of hyperspectral remote sensing images with support vector machines

  2004cited by this paper
• Methodology for generating daily clearness index index values Kt starting from the monthly average daily value K̄t. Determining the daily sequence using stochastic models

  2003cited by this paper
• An assessment of support vector machines for land cover classi(cid:142) cation

  2002cited by this paper
• Application of system identification modelling to solar hybrid systems for predicting radiation, temperature and load

  2001cited by this paper
• Univariate and multivariate forecasting of hourly solar radiation with artificial intelligence techniques

  2000cited by this paper
• The Nature of Statistical Learning Theory

  2000cited by this paper
• Confidence and prediction intervals for neural network ensembles

  1999cited by this paper
• Short-term forecasting of solar radiation: a statistical approach using satellite data

  1999cited by this paper
• A Tutorial on Support Vector Machines for Pattern Recognition

  1998cited by this paper
• An ANN-based approach for predicting global radiation in locations with no direct measurement instrumentation

  1998cited by this paper
• Practical Confidence and Prediction Intervals

  1996cited by this paper
• Development of a neural network model to predict daily solar radiation

  1994cited by this paper

• Experimental review and recent advances in deep learning techniques for solar irradiance forecasting and prediction

  2026cites this paper
• Direct solar radiation prediction based on temperature element matching optimization

  2026cites this paper
• Hybrid CEEMDAN-FELM-based machine learning model for accurate solar irradiance forecasting and techno-economic design of renewable hydrogen systems

  2026cites this paper
• Direct Normal Irradiance Forecasting for High-Temperature Concentrated Solar Thermal Systems

  2025cites this paper
• Artificial Vision in Renewable Photovoltaic Systems: A Review and Vision of Specific Applications and Technologies

  2025cites this paper
• Hybrid ultra-short term solar irradiation forecasting using resource-efficient multi-step long-short term memory

  2025cites this paper
• Random Forest Regression for Solar Radiation Forecasting with Meteorological Inputs

  2025cites this paper
• Adarmer: An Adaptive Transformer for Direct Normal Irradiance Forecasting

  2024cites this paper
• Design And Construction Of A 500-watt Iot Based Portable Solar Power Generating Station

  2024cites this paper
• Skynet-Driven Prediction of Synthetic Sky Images for Ultra-Short-Term Solar Forecasting

  2024cites this paper
• Modern deep neural networks for Direct Normal Irradiance forecasting: A classification approach

  2024cites this paper
• Short-term forecast of solar irradiance components using an alternative mathematical approach for the identification of cloud features

  2024cites this paper
• Solar Radiation Prediction Model Based on Spatial Attention Mechanisms and Sun Position Feature Maps

  2024cites this paper
• Research on simulation and validation methods of aerosol radiative forcing on the Tibetan Plateau based on satellite and ground-based remote sensing observations over the past 20 years

  2024cites this paper
• Hybrid solar irradiance nowcasting and forecasting with the SCOPE method and convolutional neural networks

  2024cites this paper
• Sky image-based solar forecasting using deep learning with heterogeneous multi-location data: Dataset fusion versus transfer learning

  2024cites this paper
• Solar power forecasting using domain knowledge

  2024cites this paper
• A review of distributed solar forecasting with remote sensing and deep learning

  2024cites this paper
• Data-driven prediction of natural period for existing RC high-rise buildings using probabilistic machine learning methods

  2024cites this paper
• SkyGPT: Probabilistic Ultra-short-term Solar Forecasting Using Synthetic Sky Images from Physics-constrained VideoGPT

  2024cites this paper
• Cloud detection method using ground-based sky images based on clear sky library and superpixel local threshold

  2024cites this paper
• Unified Uncertainty Estimation for Cognitive Diagnosis Models

  2024cites this paper
• Solar resource assessment and forecasting using CAMS-MACC and physical modeling in tropical climate

  2024cites this paper
• Open-source sky image datasets for solar forecasting with deep learning: A comprehensive survey

  2024cites this paper
• SkyGPT: Probabilistic Short-term Solar Forecasting Using Synthetic Sky Videos from Physics-constrained VideoGPT

  2023cites this paper
• A 3D ConvLSTM-CNN network based on multi-channel color extraction for ultra-short-term solar irradiance forecasting

  2023cites this paper
• A transferable turbidity estimation method for estimating clear-sky solar irradiance

  2023cites this paper
• Ultra-short-term forecasting of global horizontal irradiance (GHI) integrating all-sky images and historical sequences

  2023cites this paper
• Demand forecasting based on ann integrating solar distributed generation

  2023cites this paper
• Mixed Multi-Pattern Regression for DNI Prediction in Arid Desert Areas

  2023cites this paper
• Solar irradiation forecastby deep learning architectures

  2022cites this paper
• RID - Roof Information Dataset for Computer Vision-Based Photovoltaic Potential Assessment

  2022cites this paper
• Interval early warning method for state of engineering structures based on structural health monitoring data

  2022cites this paper
• A network of sky imagers for spatial solar irradiance assessment

  2022cites this paper
• Using deep learning and meteorological parameters to forecast the photovoltaic generators intra-hour output power interval for smart grid control

  2022cites this paper
• Recent advances in intra-hour solar forecasting: A review of ground-based sky image methods

  2022cites this paper
• Improved Turbidity Estimation from Local Meteorological Data for Solar Resourcing and Forecasting Applications

  2022cites this paper
• Open-Source Ground-based Sky Image Datasets for Very Short-term Solar Forecasting, Cloud Analysis and Modeling: A Comprehensive Survey

  2022cites this paper
• Deterministic and probabilistic ship pitch prediction using a multi-predictor integration model based on hybrid data preprocessing, reinforcement learning and improved QRNN

  2022cites this paper
• Sky-image-based solar forecasting using deep learning with multi-location data: training models locally, globally or via transfer learning?

  2022cites this paper
• Forecasting Stock Prices of Companies Producing Solar Panels Using Machine Learning Methods

  2022cites this paper
• Fuzzy inference systems based on multi-type features fusion for intra-hour solar irradiance forecasts

  2021cites this paper
• Socially Responsible AI Algorithms: Issues, Purposes, and Challenges

  2021cites this paper
• Use of physics to improve solar forecast: Physics-informed persistence models for simultaneously forecasting GHI, DNI, and DHI

  2021cites this paper
• Review of onsite temperature and solar forecasting models to enable better building design and operations

  2021cites this paper
• Solar Energy Investment Forecast to 2040

  2021cites this paper
• Resampling and data augmentation for short-term PV output prediction based on an imbalanced sky images dataset using convolutional neural networks

  2021cites this paper
• Bayesian bootstrapping in real-time probabilistic photovoltaic power forecasting

  2021cites this paper
• Intra-hour irradiance forecasting techniques for solar power integration: a review

  2021cites this paper
• Development of a Low-Cost Data Acquisition System for Very Short-Term Photovoltaic Power Forecasting

  2021cites this paper
• Interval-Based Remaining Time Prediction for Business Processes

  2021cites this paper
• Hourly and Day Ahead Power Prediction of Building Integrated Semitransparent Photovoltaic System

  2021cites this paper
• PV power output prediction from sky images using convolutional neural network: The comparison of sky-condition-specific sub-models and an end-to-end model

  2020cites this paper
• Use of Physics to Improve Solar Forecast : Physics-Informed Persistence Models for 1 Simultaneously Forecasting GHI , DNI , and DHI 2

  2020cites this paper
• Benchmark probabilistic solar forecasts: Characteristics and recommendations

  2020cites this paper
• Global Horizontal Irradiance Modeling for All Sky Conditions Using an Image-Pixel Approach

  2020cites this paper
• Probabilistic Time Series Forecasting for Unconventional Oil and Gas Producing Wells

  2020cites this paper
• A novel clear-sky index for color sky imagery used in short-term irradiance forecasting

  2020cites this paper
• Solar irradiation prediction intervals based on Box–Cox transformation and univariate representation of periodic autoregressive model

  2020cites this paper
• Randomised learning‐based hybrid ensemble model for probabilistic forecasting of PV power generation

  2020cites this paper
• Short-term solar power forecast with deep learning: Exploring optimal input and output configuration

  2019cites this paper
• Verification of solar irradiance probabilistic forecasts

  2019cites this paper
• Nowcasting methods for optimising building performance

  2019cites this paper
• Preliminary Analysis of Short-term Solar Irradiance Forecasting by using Total-sky Imager and Convolutional Neural Network

  2019cites this paper
• Inter-hour direct normal irradiance forecast with multiple data types and time-series

  2019cites this paper
• Probabilistic prediction of direct normal irradiance derived from global horizontal irradiance over the Korean Peninsula by using Monte-Carlo simulation

  2019cites this paper
• Solar radiation forecasting using artificial neural network and random forest methods: Application to normal beam, horizontal diffuse and global components

  2019cites this paper
• Uncertainty‐aware forecast interval for hourly PV power output

  2019cites this paper
• Quantification of the forecasting uncertainty in smart grid

  2018cites this paper
• What are the Current Status and Future Prospects in Solar Irradiance and Solar Power Forecasting?

  2018cites this paper
• Solar PV output prediction from video streams using convolutional neural networks

  2018cites this paper
• Direct Power Output Forecasts From Remote Sensing Image Processing

  2018cites this paper
• Neural Network-Based Uncertainty Quantification: A Survey of Methodologies and Applications

  2018cites this paper
• Convolutional Neural Network for Short-term Solar Panel Output Prediction

  2018cites this paper
• History and trends in solar irradiance and PV power forecasting: A preliminary assessment and review using text mining

  2018influential citation
• Review on probabilistic forecasting of photovoltaic power production and electricity consumption

  2018cites this paper
• A database infrastructure to implement real-time solar and wind power generation intra-hour forecasts

  2018cites this paper
• Prediction of Direct Normal Irradiance using a Novel Multi-model Algorithm

  2018cites this paper
• A novel prediction intervals method integrating an error & self-feedback extreme learning machine with particle swarm optimization for energy consumption robust prediction

  2018cites this paper
• Solar irradiation nowcasting by stochastic persistence: A new parsimonious, simple and efficient forecasting tool

  2018cites this paper
• Short-term ensemble forecast for purchased photovoltaic generation

  2017cites this paper
• Global Solar Radiation Prediction Methodology using Artificial Neural Networks for Photovoltaic Power Generation Systems

  2017cites this paper
• Multi-objective evolutionary optimization of prediction intervals for solar energy forecasting with neural networks

  2017cites this paper
• Short-term probabilistic forecasts for Direct Normal Irradiance

  2017influential citation
• Interannual Variability and Seasonal Predictability of Wind and Solar Resources

  2017cites this paper
• An ensemble prediction intervals approach for short-term PV power forecasting

  2017cites this paper
• Cloud Motion Identification Algorithms Based on All-Sky Images to Support Solar Irradiance Forecast

  2017cites this paper
• Mathematical methods for optimized solar forecasting

  2017cites this paper
• Clear-sky model for wavelet forecast of direct normal irradiance

  2017cites this paper
• Short-term forecasting of high resolution local DNI maps with multiple fish-eye cameras in stereoscopic mode

  2017cites this paper
• Net load forecasts for solar-integrated operational grid feeders

  2017cites this paper
• Prediction Intervals via Support Vector-quantile Regression Random Forest Hybrid

  2017cites this paper
• Short-Term Solar Forecasting Performance of Popular Machine Learning Algorithms P reprint

  2017cites this paper
• Very Short-Term Nonparametric Probabilistic Forecasting of Renewable Energy Generation— With Application to Solar Energy

  2016cites this paper
• Smart baseline models for solar irradiation forecasting

  2016cites this paper
• Quantitative evaluation of the impact of cloud transmittance and cloud velocity on the accuracy of short-term DNI forecasts

  2016cites this paper
• PV power conversion and short-term forecasting in a tropical, densely-built environment in Singapore

  2016cites this paper
• Irradiance prediction intervals for PV stochastic generation in microgrid applications

  2016cites this paper
• Ultra-short-term prediction intervals of photovoltaic AC active power

  2016cites this paper
• Generation and evaluation of space–time trajectories of photovoltaic power

  2016cites this paper