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Empowering Prosumers: A Thesis on Machine Learning for Optimized Renewable Energy Management in Smart Grids
DE
Autoři
Více o knize
The book explores the transition from fossil fuels to renewable energy sources like solar, wind, geothermal, and hydro power, highlighting their environmental benefits and challenges. It addresses the intermittency of renewable energy generation and its impact on grid stability. Smart grids are presented as a solution, featuring two-way communication and distributed intelligence for real-time energy management. The role of prosumers—individuals who both consume and generate electricity—is emphasized, showcasing their importance in enhancing grid efficiency and reliability.
Nákup knihy
Empowering Prosumers: A Thesis on Machine Learning for Optimized Renewable Energy Management in Smart Grids, Smith
- Jazyk
- Rok vydání
- 2024
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Doručení
Platební metody
Navrhnout úpravu
- Titul
- Empowering Prosumers: A Thesis on Machine Learning for Optimized Renewable Energy Management in Smart Grids
- Podtitul
- DE
- Jazyk
- anglicky
- Autoři
- Smith
- Vydavatel
- tredition
- Rok vydání
- 2024
- Vazba
- měkká
- Počet stran
- 88
- ISBN13
- 9783384242259
- Kategorie
- Ekologie
- Anotace
- The book explores the transition from fossil fuels to renewable energy sources like solar, wind, geothermal, and hydro power, highlighting their environmental benefits and challenges. It addresses the intermittency of renewable energy generation and its impact on grid stability. Smart grids are presented as a solution, featuring two-way communication and distributed intelligence for real-time energy management. The role of prosumers—individuals who both consume and generate electricity—is emphasized, showcasing their importance in enhancing grid efficiency and reliability.