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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20200 - Electrical engineering, Electronic engineering, Information engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název periodika

IEEE Transactions on Sustainable Energy

ISSN

1949-3029

e-ISSN

1949-3037

Svazek periodika

15

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

4

Strana od-do

699-702

Kód UT WoS článku

001133194500007

EID výsledku v databázi Scopus

2-s2.0-85163757636