Forecasting of energy-related carbon dioxide emission using ANN combined with hybrid metaheuristic optimization algorithms
H Moayedi, A Mukhtar, NB Khedher… - Engineering …, 2024 - Taylor & Francis
Energy-related CO2 emissions are one of the biggest concerns facing urban design today,
increasing rapidly as cities grow. This study uses as inputs the GDP of the G8 nations (from …
increasing rapidly as cities grow. This study uses as inputs the GDP of the G8 nations (from …
Dynamic spatial–temporal model for carbon emission forecasting
Addressing the urgent need for accurate carbon emissions forecasting to support global
emissions reduction goals, this paper introduces a novel approach for carbon emissions …
emissions reduction goals, this paper introduces a novel approach for carbon emissions …
Deep Learning Model for Energy Consumption Prediction and Carbon Emission Estimation
The built environment sector's growth has resulted in a rise in energy demands, which
current energy production techniques cannot fulfill sustainably. Therefore, accurate energy …
current energy production techniques cannot fulfill sustainably. Therefore, accurate energy …