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Empowering Prosumers: A Thesis on Machine Learning for Optimized Renewable Energy Management in Smart Grids
DE
Autori
Viac o knihe
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 vydania
- 2024
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- Titul
- Empowering Prosumers: A Thesis on Machine Learning for Optimized Renewable Energy Management in Smart Grids
- Podtitul
- DE
- Jazyk
- anglicky
- Autori
- Smith
- Vydavateľ
- tredition
- Vydavateľ
- 2024
- Väzba
- mäkká
- Počet strán
- 88
- ISBN13
- 9783384242259
- Kategórie
- Ekológia
- Anotácia
- 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.