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Empowering Prosumers: A Thesis on Machine Learning for Optimized Renewable Energy Management in Smart Grids
DE
Autoren
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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.
Buchkauf
Empowering Prosumers: A Thesis on Machine Learning for Optimized Renewable Energy Management in Smart Grids, Smith
- Sprache
- Erscheinungsdatum
- 2024
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- (Paperback)
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- Titel
- Empowering Prosumers: A Thesis on Machine Learning for Optimized Renewable Energy Management in Smart Grids
- Untertitel
- DE
- Sprache
- Englisch
- Autor*innen
- Smith
- Verlag
- tredition
- Erscheinungsdatum
- 2024
- Einband
- Paperback
- Seitenzahl
- 88
- ISBN13
- 9783384242259
- Kategorie
- Ökologie
- Beschreibung
- 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.