请将下面的英文翻译成中文感激不尽!谢绝机器直翻!

　　Therearevariousmethodsadoptedfortheforecastingoffuturemarketprice.Oneapproachtopredictthemarketbehaviorsisregression.Thebasicideaistousethehistoricalprices,quantityandotherinformationsuchasloadforecast,andtemperaturestopredicttheMCPs.Thatis,usehistoryandotherestimatedfactorsinthefutureto‘‘fit’’and‘‘extrapolate’’thepricesandquantity.

　　Importantmethodologicalissuesandtechniquesforelectricityloadandpriceforecastingarepresentedin.Computationallyintensivemethodslikevariablesegmentation,multiplemodeling,combinationsandneuralnetworksforforecastingdemandsideandstrategicsimulationusingartificialagentsforthesupplysideareused.Conceptualframeworkfordesigningpriceforecastingapproachesarepresented.Modelingcompetitivemarketbehaviorincapturinguncertaintyininputs/outputswithadaptabilityandtransparencyispresented.ModelofMarket-clearingprice(MCP)andDatabaseforforecastingelectricitypricesisdescribed.ForecastingEnergypricesusingneuralnetworksandfuzzylogicandtheircombinationisdiscussedin.Historicalbehaviorsofspotpriceswasevaluatedforthesemethods.Emphasisisplacedontheidentificationofimportantparameterswhichinfluencetheforecastedquantity.Basicframeworkofartificialneuralnetworkforloadforecastingbasedonhistoricalloaddataandtemperatureispresented.Amultilayerperceptionusingthreehiddenlayersisimplementedforaccurateloadforecasting.

　　该论文是基于神经网络的电价预测谢谢各位啦！