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Conservation of Energy Resources

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An Artificial Neural Network-Based Approach to Optimizing Energy Efficiency in Residential Buildings in Hot Summer and Cold Winter Regions.

Computational intelligence and neuroscience
Resource depletion and ecological crisis have prompted human beings to reflect on the behavior patterns based on industrial civilization so as to seek ways of sustainable development of human society, economy, technology, and environment. The energy ...

Factors affecting energy efficiency of microwave drying of foods: an updated understanding.

Critical reviews in food science and nutrition
Microwave drying (MWD) is an efficient dielectric drying method in food, with advantages such as volumetric heating, fast drying, safety, and good product quality. As a key indicator of a dryer's market value, energy efficiency is of concern to selle...

In-sensor neural network for high energy efficiency analog-to-information conversion.

Scientific reports
This work presents an on-chip analog-to-information conversion technique that utilizes analog hyper-dimensional computing based on reservoir-computing paradigm to process electrocardiograph (ECG) signals locally in-sensor and reduce radio frequency t...

A Robust Artificial Intelligence Approach with Explainability for Measurement and Verification of Energy Efficient Infrastructure for Net Zero Carbon Emissions.

Sensors (Basel, Switzerland)
Rapid urbanization across the world has led to an exponential increase in demand for utilities, electricity, gas and water. The building infrastructure sector is one of the largest global consumers of electricity and thereby one of the largest emitte...

The Development of an Energy Efficient Temperature Controller for Residential Use and Its Generalization Based on LSTM.

Sensors (Basel, Switzerland)
Thermostats operate alongside intelligent home automation systems for ensuring both the comfort of the occupants as well as the responsible use of energy. The effectiveness of such solutions relies on the ability of the adopted control methodology to...

Nordic environmental resilience: balancing air quality and energy efficiency by applying artificial neural network.

Frontiers in public health
Maintaining public health and environmental safety in the Nordic nations calls for a strict plan to define exact benchmarks on air quality and energy efficiency. This study investigates the complicated interaction of decentralized energy production (...

Utilizing support vector machines to foster sustainable development and innovation in the clean energy sector via green finance.

Journal of environmental management
As the global demand for clean energy continues to grow, the sustainable development of clean energy projects has become an important topic of research. in order to optimize the performance and sustainability of clean energy projects, this work explo...

Complex artificial intelligence models for energy sustainability in educational buildings.

Scientific reports
Energy consumption of constructed educational facilities significantly impacts economic, social and environment sustainable development. It contributes to approximately 37% of the carbon dioxide emissions associated with energy use and procedures. Th...

Artificial intelligence can regulate light and climate systems to reduce energy use in plant factories and support sustainable food production.

Nature food
Plant factories with artificial lighting (PFALs) can boost food production per unit area but require resources such as carbon dioxide and energy to maintain optimal plant growth conditions. Here we use computational modelling and artificial intellige...

Integrating intuitionistic fuzzy and MCDM methods for sustainable energy management in smart factories.

PloS one
Improving energy efficiency is crucial for smart factories that want to meet sustainability goals and operational excellence. This study introduces a novel decision-making framework to optimize energy efficiency in smart manufacturing environments, i...