The convergence of hydrogen energy with artificial intelligence (AI) in smart infrastructure
has significant potential to revolutionise the worldwide energy sector. This article thoroughly …

Many countries around the world are rapidly advancing sustainable development (SD)
through the exploitation of clean energy sources such as solar and wind energy, which are …

During the fourth energy revolution, artificial intelligence implementation is necessary in all
fields of technology to meet the increasing energy demands and address the diminishing …

Highly competitiveness of solar power plants in the energy market requires addressing the
active research problem of solar energy forecasting. To make precise forecasts, however …

In this research paper, we propose a novel hybrid deep learning approach, SSA-CNN-
LSTM, for forecasting solar power generation. The approach combines Singular Spectrum …

This study worked with Chunghwa Telecom to collect data from 17 rooftop solar photovoltaic
plants installed on top of office buildings, warehouses, and computer rooms in northern …

Introduction: The construction sector plays a pivotal role in global natural resource
consumption, underscoring the urgency of promoting energy efficiency in buildings. With the …

Sustainable and renewable energy sources are of great importance in today's world. In this
respect, renewable energy sources are used in many fields of technology. In order to …

Integration of renewable energy sources which are intermittent in nature can exacerbate the
inherent challenges in hours ahead operational planning. In this work a machine learning …