The aim of this paper is to present a simulation based decision support that models the energy balance and suggests the optimal energy-related actions based on ...

Mar 22, 2021 · The aim of this paper is to present a simulation based decision support that models the energy balance and suggests the optimal energy-related ...

The aim of this paper is to present a simulation based decision support that models the energy balance and suggests the optimal energy- related actions based on ...

Jul 15, 2021 · Precise heating load prediction models can help accurately evaluate the dynamic change in the thermal load trend on the demand side, leading to ...

Feb 16, 2024 · In this work, we present the first brick of an optimization framework for the control of district heat networks using a surrogate model based on ...

Nov 1, 2023 · The objective of this study is to predict the values of cooling and heating loads by utilizing the multilayer perceptron neural network for predictive purposes.

Jul 23, 2024 · Detailed discussions of modeling approaches and optimization algorithms are included. Numerous design aspects such as prediction horizon, time ...

Jul 10, 2024 · This study highlights a novel approach for HL prediction employing Multi-layer Perceptron (MLP) neural networks in conjunction with two innovative optimizers.

This study presents a model for district-level electricity demand forecasting using a set of Artificial Neural Networks (ANNs) (parallel ANNs) based on ...

Jul 11, 2022 · In order to simulate the energy consumption, a robust ANN based on the MLP model was created, trained, and tested. In a major advance of ...