With the emerging monitoring technologies, condition-based maintenance is nowadays a
reality for the wind energy industry. This is important to avoid unnecessary maintenance …

Thermal power plants are pivotal in meeting global energy demands, yet enhancing their
efficiency and sustainability remains an enduring challenge. While previous studies have …

The number of large photovoltaic (PV) power plants is increasing around the world. Energy
sale usually follows demand contracts with clearly defined obligations, subject to nonsupply …

Metaheuristic algorithms are extensively utilized to find solutions and optimize complex
industrial systems' performance. In this paper, metaheuristic algorithms are utilized to predict …

The newly set up power plant has been committed to fulfilling the power supply demand of
the world. Therefore, optimizing operating variables within constraints of varying power …

Intelligent maintenance powered by advanced sensor technology is crucial to ensure the
safe and reliable operation of wind turbines. Most maintenance models are scheduled solely …

Reliability centered maintenance (RCM) is a new strategic framework for evaluating system
maintenance requirements in its operating conditions. Some industries employ predictive …

This paper proposes a safe reinforcement learning algorithm for generation bidding
decisions and unit maintenance scheduling in a competitive electricity market environment …

The prominent objective of the present study is to optimize the availability of condenser units
in steam turbine power plants. For this purpose, a novel stochastic model is proposed by …

The periodic outage planning of generation units for maintenance services is critical for their
economic operation. Ignoring it can lead to premature degradation, high repair costs, and …