Short term Load Forecasting Considering Demand Response under virtual power plant mode
نویسندگان
چکیده
In order to better manage demand response resources of user side and reduce short-term load forecasting error, a method considering in virtual power plant mode is proposed. Firstly, the mechanism analyzed. Taking maximum profit as goal, user’s energy consumption habits, self built photovoltaic, storage behavior thermal electric coupling, optimization model established for each type resources. The CPLEX solver called solve mixed integer linear programming problem after transformation, sub signals resource participating are obtained. Then, based on this model, long-term memory network predict iteratively. At same time, effectively makes up shortcomings traditional without response, more accurate predicting future trend change.
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ژورنال
عنوان ژورنال: E3S web of conferences
سال: 2021
ISSN: ['2555-0403', '2267-1242']
DOI: https://doi.org/10.1051/e3sconf/202125602006