Next-Day Solar Irradiance Forecasting: A Preliminary Study in Limassol

This study presents a preliminary evaluation of a next-day solar irradiance forecast system in Limassol, Cyprus, over six months. For the evaluation, forecasted Global Horizontal Irradiance (GHI) was compared with high-quality ground measurements. The system showed strong correlation with measured values at both hourly and daily timescales. Hourly forecasts exhibited a correlation coefficient (r<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>) of 0.84 and a Mean Bias Error (MBE) of 23.4 W/m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> (4.8%), while daily energy forecasts showed improved performance with an r<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> of 0.86 and an MBE of 0.3 kWh/m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> (4.7%). The Root Mean Squared Error (RMSE) was 123.7 W/m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> (25.4%) for hourly forecasts and 0.8 kWh/m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> (13%) for daily forecasts, indicating that daily aggregation reduces error magnitudes by averaging out short-term fluctuations and discrepancies. Some discrepancies were due to the model’s limited ability to capture cloud and aerosol variations. Future work will focus on investigating these factors to enhance the forecast system’s accuracy and reliability.

Authors

Institutions

Publication Details

Published
2024-10-21
DOI
https://doi.org/10.1109/synergymed62435.2024.10799286
Citations
1
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
1.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Next-Day Solar Irradiance Forecasting: A Preliminary Study in Limassol

Diofantos G. Hadjimitsis, Konstantinos Fragkos, Kyriakoula Papachristopoulou, Georgia Charalampous et al.
1 citations
Energy, Environment, Economic Growth
1.13
article

Next-Day Solar Irradiance Forecasting: A Preliminary Study in Limassol

Diofantos G. Hadjimitsis, Konstantinos Fragkos, Kyriakoula Papachristopoulou, Georgia Charalampous, Ilias Fountoulakis, Stelios Kazadzis
article en
1 citations

Abstract

This study presents a preliminary evaluation of a next-day solar irradiance forecast system in Limassol, Cyprus, over six months. For the evaluation, forecasted Global Horizontal Irradiance (GHI) was compared with high-quality ground measurements. The system showed strong correlation with measured values at both hourly and daily timescales. Hourly forecasts exhibited a correlation coefficient (r<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>) of 0.84 and a Mean Bias Error (MBE) of 23.4 W/m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> (4.8%), while daily energy forecasts showed improved performance with an r<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> of 0.86 and an MBE of 0.3 kWh/m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> (4.7%). The Root Mean Squared Error (RMSE) was 123.7 W/m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> (25.4%) for hourly forecasts and 0.8 kWh/m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> (13%) for daily forecasts, indicating that daily aggregation reduces error magnitudes by averaging out short-term fluctuations and discrepancies. Some discrepancies were due to the model’s limited ability to capture cloud and aerosol variations. Future work will focus on investigating these factors to enhance the forecast system’s accuracy and reliability.

Cyprus University of Technology (CY), National Observatory of Athens (GR), Physikalisch-Meteorologisches Observatorium Davos (CH)
Climate action
Openalex Percentile: Top 10%
Energy, Environment, Economic Growth
1.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.