On the Forecastability of Solar Energy Generation by Rooftop Panels Pointed in Different Directions

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F24%3A10254572" target="_blank" >RIV/61989100:27240/24:10254572 - isvavai.cz</a>

Result on the web

<a href="https://ieeexplore.ieee.org/document/10169105" target="_blank" >https://ieeexplore.ieee.org/document/10169105</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TSTE.2023.3291212" target="_blank" >10.1109/TSTE.2023.3291212</a>

Result language

angličtina

Original language name

On the Forecastability of Solar Energy Generation by Rooftop Panels Pointed in Different Directions

Original language description

By increasing the penetration of small-scale rooftop solar panels, forecasting their output has become important to both homeowners and distribution systems operators. In many areas, the roof of residential houses is not such that all solar panels are installed pointing in one direction; so, they are installed pointing in different directions. In this letter, the effect of this phenomenon on the forecastability of the day-ahead solar panels&apos; power output is experimentally investigated. To perform day-ahead energy forecasting, a feedforward artificial neural network (ANN) is created using historical data and weather conditions of a similar day along with the forecast weather conditions of the day for which the forecast is to be performed. A similar day selection algorithm based on Euclidean distance is used to determine the reference day. Two forecasting approaches have been compared: forecasting each panel output and forecasting the total output. Moreover, Long short-term memory (LSTM) is used to validate the conclusion made by the feedforward ANN. The results evidently show that considering different directions of the solar panels increases the forecastability of the rooftop solar power plant.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20200 - Electrical engineering, Electronic engineering, Information engineering

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

IEEE Transactions on Sustainable Energy

ISSN

1949-3029

e-ISSN

1949-3037

Volume of the periodical

15

Issue of the periodical within the volume

1

Country of publishing house

US - UNITED STATES

Number of pages

4

Pages from-to

699-702

UT code for WoS article

001133194500007

EID of the result in the Scopus database

2-s2.0-85163757636