The efficiency, flexibility, and resilience of building-integrated energy systems are
challenged by unpredicted changes in operational environments due to climate change and …

The energy sector plays a vital role in achieving a sustainable net-zero future, and the
adoption of advanced technologies such as AI, blockchain, quantum computing, digital twin …

The power sector is increasingly relying on variable renewable energy sources (VRE)
whose share in energy production is expected to further increase. A key challenge for …

Many industrialised countries have benefited from the advent of twenty-first century
technologies, especially automation, that have fundamentally changed manufacturing and …

Electricity prices in spot markets are volatile and can be affected by various factors, such as
generation and demand, system contingencies, local weather patterns, bidding strategies of …

Many firms have established formal carbon neutrality (CN) targets in response to the
increasing climate risk and related regulatory requirements. Subsequently, they have …

We propose a forecasting technique based on multi-feature data fusion to enhance the
accuracy of an electric vehicle (EV) charging station load forecasting deep-learning model …

Single-molecule non-volatile memories can be designed as high-density memories and
memristors. The latter, enabling real-time data processing by performing computations …

Bidding is the process in which a contractor submits a tender to the owner of a construction
project to undertake its execution. This enables companies to properly employ required …

Accurate prediction of electricity prices under uncertainties is an important and challenging
problem for all electricity market participants. This article proposes a novel generative model …