Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7919097 | Energy Procedia | 2017 | 10 Pages |
Abstract
Traditional electricity grids lack flexibility in power generation and load operation in contrast to smart-micro grids that form semi-autonomous entities with energy management capabilities. Load forecasting is invaluable to smart micro-grids towards assisting the implementation of energy management schedules for cost-efficient and secure operation. In the present paper is examined the 24h forecasting of excess production in an existing micro-grid. Alternative input parameters are considered for achieving an accurate prediction. The prediction can be used for scheduling the charging process of a thermal storage during weekends based on excess power production levels.
Related Topics
Physical Sciences and Engineering
Energy
Energy (General)
Authors
Angeliki Mavrigiannaki, Nikos Kampelis, Denia Kolokotsa, Daniele Marchegiani, Laura Standardi, Daniela Isidori, Cristina Christalli,