Work

Machine learning analysis for a flexibility energy approach towards renewable energy integration with dynamic forecasting of electricity balancing power

Year: 2017

Type: conference-paper

Source: International Conference on the European Energy Market (EEM)

DOI: 10.1109/eem.2017.7981877

Authors: Andreas Essl, Andre Ortner, Reinhard Haas, Peter Hettegger

Institutions: TU Wien, AIT Austrian Institute of Technology GmbH

Language: English

Topic: Electric Power System Optimization

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W2735389194

FWCI: 1.94

Cites: 23

Cited by: 15

Related to: 10