An extensive investigation on leveraging machine learning techniques for high-precision predictive modeling of CO2 emission
Predictive analytics utilizing machine learning algorithms play a pivotal role in various
domains, including the profiling of carbon dioxide (CO2) emissions. This research paper …
domains, including the profiling of carbon dioxide (CO2) emissions. This research paper …
Energy demand forecasting in seven sectors by an optimization model based on machine learning algorithms
ME Javanmard, SF Ghaderi - Sustainable Cities and Society, 2023 - Elsevier
With the growth of population, many countries face the challenge of supplying energy
resources. One approach to managing and planning these resources is to predict energy …
resources. One approach to managing and planning these resources is to predict energy …
[HTML][HTML] AI analytics for carbon-neutral city planning: A systematic review of applications
Artificial intelligence (AI) has become a transformative force across various disciplines,
including urban planning. It has unprecedented potential to address complex challenges. An …
including urban planning. It has unprecedented potential to address complex challenges. An …
[HTML][HTML] An interpretable multi-stage forecasting framework for energy consumption and CO2 emissions for the transportation sector
The transportation sector is deemed one of the primary sources of energy consumption and
greenhouse gases throughout the world. To realise and design sustainable transport, it is …
greenhouse gases throughout the world. To realise and design sustainable transport, it is …
Sustainable development and the surge in electricity demand across emerging economies
Electricity plays a pivotal role in the operation and development of contemporary societies
and economies, with its significance escalating as electricity-dependent technologies like …
and economies, with its significance escalating as electricity-dependent technologies like …
Forecasting residential electricity consumption using the novel hybrid model
GF Fan, Y Zheng, WJ Gao, LL Peng, YH Yeh… - Energy and …, 2023 - Elsevier
The accuracy of power load forecasting plays an important role in the development of the
economy and the promotion of energy consumption and transformation. Aiming at the strong …
economy and the promotion of energy consumption and transformation. Aiming at the strong …
[HTML][HTML] Optimizing environmental sustainability in pharmaceutical 3D printing through machine learning
Abstract 3D Printing (3DP) of pharmaceuticals could drastically transform the manufacturing
of medicines and facilitate the widespread availability of personalised healthcare. However …
of medicines and facilitate the widespread availability of personalised healthcare. However …
On complex fractal-fractional order mathematical modeling of CO 2 emanations from energy sector
K Shah, T Abdeljawad - Physica Scripta, 2023 - iopscience.iop.org
This research work is devoted to undertake a mathematical model for emissions of carbon
dioxide (CO 2) from energy sector using the concept of fractals-fractional differential (FFD) …
dioxide (CO 2) from energy sector using the concept of fractals-fractional differential (FFD) …
Forecasting electricity demand in Turkey using optimization and machine learning algorithms
Medium Neural Networks (MNN), Whale Optimization Algorithm (WAO), and Support Vector
Machine (SVM) methods are frequently used in the literature for estimating electricity …
Machine (SVM) methods are frequently used in the literature for estimating electricity …
[HTML][HTML] Adaptive thermal load prediction in residential buildings using artificial neural networks
Accurate prediction of thermal load in buildings is essential for efficient energy planning. In
this study, we investigate the application of Artificial Neural Networks (ANNs) to predict …
this study, we investigate the application of Artificial Neural Networks (ANNs) to predict …