EU PVSEC Programme Online
EU PVSEC 2021, 6 - 10 September 2021
Session: 5BV.4 Solar Radiation and Forecasting
Type: Visual
Date: Tuesday, 7th September 2021
15:15 - 16:45
Event: Conference Conference
Topic: 5. PV Systems – Modelling, Design, Operation and Performance
Presentations:
5BV.4.1 Introducing the Third Edition of the Best Practices Handbook for the Collection and Use of Solar Resource Data for Solar Energy Applications
J. Remund, Meteotest, Bern, Switzerland
5BV.4.2 Combination of Physics Based Simulation and Machine Learning for PV Power Forecasting of Large Power Plants
N. Holland, Fraunhofer ISE, Freiburg, Germany
5BV.4.3 Intraday Post Processing of Solar Irradiance Forecasts from WRF Model Using Satellite-Derived Data in French Guiana
M. Salloum, University of French Guiana, Cayenne, French Guiana
5BV.4.4 Recurrent Neural Network for Short-Time Power Forecast for a 540 kWp Grid-Connected PV Plant Installed at the University of São Paulo, Brazil
W.W. Ferreira Fonseca, USP, São Paulo, Brazil
5BV.4.5 Post Processing of Day-Ahead Solar Irradiance Forecast Using Satellite Derived Data in French Guiana
J. Macaire, University of French Guiana, Cayenne, French Guiana
5BV.4.7 Novel Intraday Photovoltaic Production Forecasting Algorithm Using Deep Learning Ensemble Models
S. Theocharides, University of Cyprus, Nicosia, Cyprus
5BV.4.8 Solar Irradiance Forecasting Using Numerical Weather Prediction Model and INSAT-3D Based Satellite Model
A. Masoom, IIT Roorkee, Roorkee, India
5BV.4.11 Comparison and Validation of Irradiance Data: Satellite Meteorological Dataset MERRA-2 vs. Meteonorm and German Weather Service (DWD)
S. Krauter, University of Paderborn, Paderborn, Germany
5BV.4.12 The Long-Term of the Albedo Stability under Different Weather Conditions
S. Suarez, Enertis Solar, Madrid, Spain
5BV.4.13 Open-Source Geospatial Data Service with an Application in Irradiance Modelling for VIPV
E. Sovetkin, Forschungszentrum Jülich, Jülich, Germany
5BV.4.14 PV 2-State: A Simple but Accurate Short-Term PV Power Forecasting Tool
M. Paulescu, West University of Timisoara, Timisoara, Romania
5BV.4.15 Cloud Height Estimation Using All Sky Imagers
J. Esteves, R&D Nester, Sacavém, Portugal
5BV.4.16 GHI Historical Period Used for Energy Production Assessments
C. Hidalgo, DNV GL, Barcelona, Spain
5BV.4.17 Day-Ahead PV Generation Forecasting Based on Deep Learning Approach
D. Kothona, University of Western Macedonia, Kozani, Greece