Pressure-based Forecasting of Next-day Solar Energy Availability Using Evolutionary Fuzzy Rules

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86096635" target="_blank" >RIV/61989100:27240/15:86096635 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/FUZZ-IEEE.2015.7337938" target="_blank" >http://dx.doi.org/10.1109/FUZZ-IEEE.2015.7337938</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/FUZZ-IEEE.2015.7337938" target="_blank" >10.1109/FUZZ-IEEE.2015.7337938</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Pressure-based Forecasting of Next-day Solar Energy Availability Using Evolutionary Fuzzy Rules

Popis výsledku v původním jazyce

Prediction of solar energy availability is an important part of a number of applications, from weather and climate modeling, to forecasting power output of photovoltaic cells. This work proposes and evaluates the use of evolutionary fuzzy rules, discovered by genetic programming, for accurate and inexpensive forecasting of next day available solar energy, based solely on atmospheric pressure. The use of only one meteorological variable simplifies the collection, storage and prediction tasks, making thisapproach suitable for a number of hardware-limited applications. The proposed forecasting system uses a time series of pressure values for the hours leading up to the sunrise of the day for which predictions are made. The pressure values and their differences are submitted to the evolutionary optimizer that combines these values into simple fuzzy rules. The resulting rule set provides predictions that are a substantial improvement over simple analytical estimates. The results of pressur

Název v anglickém jazyce

Pressure-based Forecasting of Next-day Solar Energy Availability Using Evolutionary Fuzzy Rules

Popis výsledku anglicky

Prediction of solar energy availability is an important part of a number of applications, from weather and climate modeling, to forecasting power output of photovoltaic cells. This work proposes and evaluates the use of evolutionary fuzzy rules, discovered by genetic programming, for accurate and inexpensive forecasting of next day available solar energy, based solely on atmospheric pressure. The use of only one meteorological variable simplifies the collection, storage and prediction tasks, making thisapproach suitable for a number of hardware-limited applications. The proposed forecasting system uses a time series of pressure values for the hours leading up to the sunrise of the day for which predictions are made. The pressure values and their differences are submitted to the evolutionary optimizer that combines these values into simple fuzzy rules. The resulting rule set provides predictions that are a substantial improvement over simple analytical estimates. The results of pressur

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

Fuzzy Systems : proceedings : August 2-5, 2015, Istanbul, Turkey

ISBN

978-1-4673-7428-6

ISSN

1544-5615

e-ISSN

—

Počet stran výsledku

8

Strana od-do

1 - 8

Název nakladatele

IEEE

Místo vydání

Danvers

Místo konání akce

Istanbul

Datum konání akce

2. 8. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000370288300139