Management of Distributed Renewable Energy Resources with the Help of a Wireless Sensor Network

Photovoltaic (PV) and wind energy are widely considered eco-friendly renewable energy resources. However, due to the unpredictable oscillations in solar and wind power production, efficient management to meet load demands is often hard to achieve. As a result, precise forecasting of PV and wind ener...

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Vydané v:	Applied sciences Ročník 12; číslo 14; s. 6908
Hlavní autori:	Nengroo, Sarvar Hussain, Jin, Hojun, Lee, Sangkeum
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.07.2022
Predmet:	Algorithms Alternative energy sources Communication Energy resources Energy storage Forecasting Forecasting techniques Internet of Things KRLS technique Neural networks power generation uncertainty prediction accuracy PV and wind power prediction regression models renewable energy Renewable resources Scheduling Sensors Social research Wind power Wireless networks
ISSN:	2076-3417, 2076-3417
On-line prístup:	Získať plný text
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