Electricity Consumption and Generation Forecasting with Artificial Neural Networks
Nowadays, smart meters, sensors and advanced electricity tariff mechanisms such as time-of-use tariff (ToUT), critical peak pricing tariff and real time tariff enable the electricity consumption optimization for residential consumers. Therefore, consumers will play an active role by shifting their p...
- Autores:
- Tipo de recurso:
- Book
- Fecha de publicación:
- 2017
- Institución:
- Universidad de Bogotá Jorge Tadeo Lozano
- Repositorio:
- Expeditio: repositorio UTadeo
- Idioma:
- eng
- OAI Identifier:
- oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/16829
- Acceso en línea:
- https://www.intechopen.com/books/advanced-applications-for-artificial-neural-networks/electricity-consumption-and-generation-forecasting-with-artificial-neural-networks
http://hdl.handle.net/20.500.12010/16829
- Palabra clave:
- Ingeniería
Redes neuronales artificiales
Energía renovable
Medidores inteligentes
- Rights
- License
- Abierto (Texto Completo)