Amid the global energy and climate crises, research on waste heat recovery has become
imperative, with extensive studies focusing on assessing waste heat potential and …

Analyzing the drivers of energy demand and predicting energy consumption can help to
shape national policies on energy transformation and energy security. This paper estimates …

The urgency of mitigating climate change comes with opportunities to transition society
towards a more sustainable future. Numerous options exist for immediate, deep, and …

The energy transition poses spatial planning challenges owing to reliance on renewable
sources, featured by a decentralized nature and substantial space requirements …

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 …

The study presents a novel framework integrating feature selection (FS) and machine
learning (ML) techniques to forecast inland national energy consumption (EC) in the United …

Dehumidification and drying processes significantly contribute to energy consumption in air
conditioning and dry material manufacturing. Conventionally, water is removed by cooling …

Medium Neural Networks (MNN), Whale Optimization Algorithm (WAO), and Support Vector
Machine (SVM) methods are frequently used in the literature for estimating electricity …

This study develops a methodology to characterise and forecast large consumers' electricity
demand, particularly municipalities, with hundreds of different metered supply points based …

As the world's greatest energy consumer, China's energy consumption and transition have
become a focus of attention. The most significant location for regional integration in the north …