Optimal Control of Mobile Energy Storage via Knowledge‐Guided Deep Reinforcement Learning
Battery Energy, Volume 5, Issue 4, July 2026.This research proposes a Knowledge‐Guided DRL framework (KA‐DDPG) for mobile energy storage. By integrating offline optimization as expert guidance to manage hybrid action spaces and environmental uncertainties, our method achieves significantly higher arbitrage profits and superior operational stability compared to standard reinforcement learning and ...
Xinlei Cai +7 more
wiley +1 more source
Smart grid inverter control: integrating RNN, model predictive, and adaptive sliding mode controller for optimal harmonic mitigation. [PDF]
Sci RepZeb O +5 more
europepmc +1 more source
Engineering Reports, Volume 8, Issue 7, July 2026.This work introduces an IGSA‐BPSO optimized hybrid PIDNPDN controller for Automatic Generation Control in deregulated multisource power systems with electric vehicle integration, achieving faster dynamic response, reduced settling times, and enhanced stability compared to conventional controllers, thereby improving system reliability, flexibility, and ...
Ajay Kumar +3 more
wiley +1 more source
Real-time decentralized model predictive control for cooperative multi-robot object transport: experimental validation. [PDF]
Sci RepMuhammed I, Nada AA, El-Hussieny H.
europepmc +1 more source
Engineering Reports, Volume 8, Issue 7, July 2026.This study introduces the POET framework to optimize microbrewery energy efficiency. The model demonstrates predictable energy savings ranging from 10% to 70% across various active and technical operational phases. ABSTRACT This research explores energy efficiency (EE) initiatives for evaluating and enhancing energy efficiency in energy‐intensive ...
J. E. Conduah, K. Kusakana, P. A. Hohne
wiley +1 more source
Hydrogen to Power: Exploring Current Developments and Future Challenges
Natural Sciences, Volume 6, Issue 3, July 2026.As the interest in low‐carbon energy systems grows, hydrogen continues to attract attention as a flexible energy carrier for power applications. Developments in hydrogen production, storage, transport, and utilization are explored. In addition, the deployment challenges of hydrogen energy vector related to economics, infrastructure, safety, and ...
Md. Shafiullah +6 more
wiley +1 more source
GRNN-DP-MPC Co-optimization for predictive energy management in hybrid UAVs. [PDF]
Sci RepKan W, Chen S, Lei W, Ma C, Pan J.
europepmc +1 more source
Physics‐Informed Neural Networks for Battery Degradation Prediction Under Random Walk Operations
Quality and Reliability Engineering International, Volume 42, Issue 5, Page 1923-1940, July 2026.ABSTRACT This study addresses the challenge of predicting the state of health (SoH) and capacity degradation in Battery Energy Storage Systems (BESS) under highly variable conditions induced by frequent control adjustments. In environments where random walk behavior prevails due to stochastic control commands, conventional estimation methods often ...
Alaa Selim +3 more
wiley +1 more source
Anticipatory postural control emerges from a predictive and optimized strategy for movement preparation. [PDF]
Commun BiolFunato T +3 more
europepmc +1 more source
No evidence for Bergmann's rule in Otodus megalodon
Papers in Palaeontology, Volume 12, Issue 4, July/August 2026.Abstract It has been proposed that Otodus megalodon exhibits a Bergmann‐like size pattern, with individuals growing larger in cooler waters, an interpretation used to challenge the existence of fossil nursery assemblages. Here, we reanalyse the dataset used to support this claim, restricting analyses to upper anterior teeth to control for dental ...
Humberto G. Ferrón +4 more
wiley +1 more source