The industrial process consumes substantial energy and emits large amounts of carbon
dioxide. With the help of accurate energy consumption and carbon emissions forecasting …

The purpose of a digital twin (DT) is to gain insight into and predict the performance of a
physical product, process, or piece of infrastructure. Numerous advantages accrue from the …

Develo** countries encounter challenges in adopting advanced roof systems due to the
complexities associated with implementing advanced materials and techniques. This study …

For a sustainable urban environment, the adoption of building-integrated photovoltaics
(BIPV) is a promising solution. Despite multiple studies on BIPV in individual buildings, scant …

Abstract Urban Heat Islands (UHI) occur in and around cities, leading to warmer
temperatures than in surrounding rural areas. The UHI effect increases energy demand, air …

Accurate photovoltaic power forecasting provides essential information for the flexible
control of building energy systems. This paper proposes a physical model with …

Bearing in mind European Green Deal assumptions regarding a significant reduction of
green house emissions, electricity generation from Renewable Energy Sources (RES) is …

The advancement of renewable and sustainable energy generation technologies has been
driven by environment-related issues, energy independence, and high costs of fossil fuels …

This paper introduces an optimal energy management and a comprehensive innovative
comparison between on-grid monofacial and bifacial solar photovoltaic systems in terms of …

The main objective of this study is to develop ANN-based predictive models for short-term
forecasting of solar PV power output and battery state of charge. The 3Ds energy model that …