• Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Optimal Distribution of Electrical Energy in the City of Goma

Optimal Distribution of Electrical Energy in the City of Goma

Paperback

Technology & Engineering

ISBN10: 3330771933
ISBN13: 9783330771932
Publisher: Our Knowledge Publishing
Published: Apr 15 2025
Pages: 132
Weight: 0.41
Height: 0.31 Width: 6.00 Depth: 9.00
Language: English
This work explores the use of neural networks to predict electricity demand and production, and to optimize energy distribution in Goma. It aims to develop ANNs capable of anticipating production at the RUZIZI, MATEBE, RWANGUBA, NURU and NELSAP power plants, and to design a model optimizing energy distribution. Following a literature review and the collection of local and online data (Kaggle), an ANN model was trained. The results show demand prediction with an error of 1.43% and distribution optimization with an accuracy of 90%. The study reveals that NURU and MATEBE are crucial during peak periods, albeit costly and generating high losses. This approach significantly improves resource management compared with conventional methods.

Also from

Pawase Gershome, Kambale

Also in

Technology & Engineering