Waste-to-Energy Framework: An intelligent energy recycling management
Nowadays, waste to energy (WTE) transformation solutions play a vital role in waste
disposal. Accurate WTE resource planning can be made using high-performance waste …
disposal. Accurate WTE resource planning can be made using high-performance waste …
Artificial intelligence for planning of energy and waste management
J Huang, DD Koroteev - Sustainable Energy Technologies and …, 2021 - Elsevier
In the current era, waste management activities, including energy and material recycling,
may create indirect environmental impacts beyond waste management systems. Energy …
may create indirect environmental impacts beyond waste management systems. Energy …
[HTML][HTML] Comparative Analysis of Machine Learning Methods for Predicting Energy Recovery from Waste
In the context of escalating energy demands and the quest for sustainable waste
management solutions, this paper evaluates the efficacy of three machine learning methods …
management solutions, this paper evaluates the efficacy of three machine learning methods …
Predictive model for municipal waste generation using artificial neural networks—Case study City of Zagreb, Croatia
Summary The European Union's environmental legislation related to environmental
protection, already implemented in the national legislation of the Republic of Croatia, aims to …
protection, already implemented in the national legislation of the Republic of Croatia, aims to …
Deep learning based a comprehensive analysis for waste prediction
In its simplest definition, waste can be defined as any substance that is used, not needed
and causes harm to the environment. Waste management covers control activities such as …
and causes harm to the environment. Waste management covers control activities such as …
Energy consumption optimization in wastewater treatment plants: Machine learning for monitoring incineration of sewage sludge
B Adibimanesh, S Polesek-Karczewska… - Sustainable Energy …, 2023 - Elsevier
Biomass management in terms of energy consumption optimization has become a recent
challenge for developed countries. Nevertheless, the multiplicity of materials and operating …
challenge for developed countries. Nevertheless, the multiplicity of materials and operating …
Waste solid management using Machine learning approch
G Lahcen, E Mohamed, G Mohammed… - … on Optimization and …, 2022 - ieeexplore.ieee.org
Information and communication technologies (ICT) allow the creation of smart cities to
provide better quality services to citizens by exchanging information with the general public …
provide better quality services to citizens by exchanging information with the general public …
Mlee: Method level energy estimation—a machine learning approach
Battery life is one of the main concerns for today's mobile users. Due to an imbalance in
demand and supply of energy in mobile devices, the burden to make battery last longer …
demand and supply of energy in mobile devices, the burden to make battery last longer …
A comparative data mining approach for the prediction of energy recovery potential from various municipal solid waste
Abstract Knowledge of higher heating value (HHV) is critically important in the techno-
economic analysis and optimal performance of thermal waste-to-energy (WTE) systems. In …
economic analysis and optimal performance of thermal waste-to-energy (WTE) systems. In …
Forecasting generation waste using artificial neural networks
E Shamshiry, B Nadi, MB Mokhtar… - Proceedings on the …, 2011 - search.proquest.com
Municipal solid waste (MSW) is the natural result of human activities. MSW generation
modeling is major significant in municipal solid waste management system planning …
modeling is major significant in municipal solid waste management system planning …