Distributed Power Generation from Renewable Energy Resources: A Framework for Load Forecasting in Low Voltage Power Grids

The purpose of this paper is to define a framework for for load forecasting in low voltage power grids with distributed power generation from renewable energy resources. In this way, the framework architecture is described: at the component level and at the global level (whole system). In the model...

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Bibliographic Details
Main Authors: Dragomir, F., Dragomir, O. E.
Format: Conference Proceeding
Language:English
Subjects:
Artificial intelligence
distributed power generation (DP)
Electricity
Europe
forecasting
Load forecasting
Low voltage
low voltage electrical grid
Renewable energy resources
renewable energy resources (RES)
Smart grids
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Description
Summary:The purpose of this paper is to define a framework for for load forecasting in low voltage power grids with distributed power generation from renewable energy resources. In this way, the framework architecture is described: at the component level and at the global level (whole system). In the model proposed, the interest of load forecasting tools as " decision support tools" is pointed out. The framework gives to customers the possibility to control electricity consumption of the used devices, allowing them to reduce: monthly bills, carbon emissions, the demand during peak periods, local dependence of the reserve's capacity. The work is in coherence with actual energy market developments like "green energy" or "web-services applications".
DOI:10.1109/EMS.2012.51