Hybrid energy investment projects help to increase the efficiency in renewable energy
production. This situation can be a solution to the high installation cost problem of the clean …

Heat load prediction is essential for energy efficiency and carbon reduction in district heating
systems. However, heat load is influenced by many factors, such as building characteristics …

Heating load prediction based on machine learning algorithms has received increasing
attention, especially the Long Short Term Memory (LSTM) network, have been shown to …

Accurate building energy consumption prediction is essential for achieving energy savings
and boosting the HVAC system's efficiency of operations. Therefore, in this work, a novel …

The accurate prediction of residential heat load is crucial for effective heating system design,
energy management, and cost optimization. In order to further improve the prediction …

In 2020, South Korea implemented the Green New Deal, and in 2022, it officially proposed
the goal of achieving carbon neutrality by 2050. To effectively promote the development of …

Coal seam water injection (CSWI) can introduce additional water to form retained water. The
migration of retained water will go through the stage from the end of CSWI to water migration …

Time series prediction methods are effective for predicting energy demands of district
heating systems. Due to the thermal inertia of systems, historical heat load is usually applied …

The article is devoted to the analysis of characteristic features of geothermal waters from
some wells of Lviv region and the possibility of their application in geothermal district …

This paper presents an experimental study of the characterisation of local materials used in
the construction and thermal insulation of buildings. These materials are compressed earth …