if any one have code related to this topic "Modeling of Electricity Consumption Forecasting Using Artificial Neural Network and Support vector Machine" kindly let me know please.

My thesis topic is "Modeling of Electricity Consumption Forecasting Using Artificial Neural Network and Support vector Machine". i used following code to predict the consumption results like R value, MSE , MAPE, MAE etc.

Opts = detectImportOptions('datasetn.txt'); Data = readtable('datasetn.txt', Opts);

input = {'T', 'Wdi', 'S', 'R','W'}; i = Data(:, input); p=table2array(i) %input variables

kWh = Data.kWh; kWh = strrep(kWh, ',', ''); kWh = strjoin(kWh, '\n'); kWh = str2num(kWh); Data.kWh = kWh

respone=Data.kWh % target response

net=feedforwardnet(10); net = configure(net, p', respone') [net, info] = train(net, p',respone'); % p input and respone the target / the info will contain the masks

y1=net(p') %predicted response Rt=corrcoef(y1, respone') %correlation coefficent MSE=mean((respone'-y1).^2); % overall MSE mAE=mean(respone'-y1))/365 %overall MAE

but i dont know what i have to write in experiment chapter because all others papers that i read almost 20 to 30, are much more advanced and they used some ANN methods like "Artificial Neural Network Based Models Generated by Multi Objective Genetic Algorithm" and many more . but i just train using "Levenberg-Marquardt backpropagation". now kindly let me know please what i have to discuss here.

[Stephan]

This topic should be discussed with your professor, not in a forum for questions related to Matlab.

Find out what you want to do and come back when you get in trouble by doing this in Matlab.