2026-10-07T01:01:05Z https://api.figshare.com/v2/oai

oai:figshare.com:article/25952854 2026-10-01T09:54:14Z category_28846 category_26560 category_24958 category_29173 category_28864 item_type_9 month_year_10_2026

Optimising the prediction of hourly heat demand using an effective Artificial Neural Network method Mohamad Abdel-Aal (18710419) Modelling and simulation Environmentally sustainable engineering Building not elsewhere classified Machine learning not elsewhere classified Artificial intelligence not elsewhere classified ANN Machine Learning Hourly Heat Demand Forecast NARX Monte Carlo Optimisation Levenberg-Marquardt networks <p dir="ltr">An artificial neural network (ANN) model has been developed to predict hourly heat demand from past demand only. This is the revised version (2026) of the code and network, as used in the revised manuscript; it replaces the 2024 version. The attached data includes the following files:</p><ol><li>Trained neural network for Model 3 (.mat file), 49 input delays and 2 hidden neurons</li><li>Matlab code for running Model 3 (.m file), including the spike repair rule</li><li>Heat demand data (2010 test series), to be used with the above two files as an example</li><li>rsquare.m, a helper function called by the code</li></ol><p dir="ltr"><br></p> 2024-06-01T17:49:09Z Software Software 10.6084/m9.figshare.25952854.v2 https://figshare.com/articles/software/HD_Jan2010_Sept2010_TESTING_Outputs_xlsx/25952854 CC BY 4.0