Innovative Energy Solutions: Evaluating Reinforcement Learning Algorithms for Battery Storage Optimization in Residential Settings DOI
Zhenlan Dou, Chunyan Zhang, Junqiang Li

et al.

Process Safety and Environmental Protection, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 1, 2024

Language: Английский

A solar energy system with a dual-input power converter and global MPPT for off-grid applications DOI
Hwa‐Dong Liu, Bin‐Juine Huang, Wei-Yu Chen

et al.

Electric Power Systems Research, Journal Year: 2025, Volume and Issue: 243, P. 111497 - 111497

Published: Feb. 6, 2025

Language: Английский

Citations

0
Kubernetes and IoT-based next-generation scalable energy management framework for residential clusters DOI
Nikita Ramachandra, N. Rajasekar

Journal of Building Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 112292 - 112292

Published: March 1, 2025

Language: Английский

Citations

0
A distributionally robust collaborative scheduling and benefit fallocation method for interconnected microgrids considering tail risk assessment DOI

Jialin Du,

Weihao Hu, Sen Zhang

et al.

Applied Energy, Journal Year: 2025, Volume and Issue: 391, P. 125910 - 125910

Published: April 15, 2025

Language: Английский

Citations

0
Real-Time Solar Power Generation Scheduling for Maintenance and Suboptimally Performing Equipment Using Demand Response Unified with Model Predictive Control DOI Creative Commons
Bin Li,

Samrawit Bzayene Fesseha,

Songsong Chen

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(13), P. 3212 - 3212

Published: June 29, 2024

This paper proposes a novel approach that unifies demand response (DR) with master plan of the model predictive control method focusing on scheduling maintenance and replacement for suboptimal equipment in real-time solar power plants. By leveraging DR mechanisms MPC algorithms, our proposed framework starts understanding correlation between module temperature, surrounding irradiation—essential predicting optimizing performance energy installations. It extends to evaluate DC AC conversion ratio, which is an indicator efficiency inverters. integration enables proactive decisions repair, maintenance, or equipment. Through exploratory data analysis using Python, we establish benefits anticipated identifying relationship factors affect generation.

Language: Английский

Citations

3
Modulating V-type ultracold atomic tunneling via coherent injection in a mazer cavity DOI
Fazal Badshah, Yuan Zhou, Zeyun Shi

et al.

Chinese Journal of Physics, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Language: Английский

Citations

3
Solar-Based Wireless Charging Solutions for EVs for Computing Techniques and Smart Technologies for Energy Efficiency DOI
Kalyaani Thota, Srikanth Velpula, Vedik Basetti

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 327 - 362

Published: Feb. 28, 2025

The growing global energy demand and environmental challenges have accelerated the adoption of renewable sources, with solar emerging as a promising solution. This paper explores integration into wireless charging systems (WCS) for electric vehicles (EVs), offering clean, effective, convenient power solutions while reducing fossil fuel dependency. Combining photovoltaic transfer (WPT) technologies enables bidirectional flow through vehicle-to-grid (V2G) integration, enhancing grid stability. study also examines role advanced computing tools like machine learning, optimization, simulation in improving efficiency system performance. Smart data analytics are highlighted their flexibility management, supporting sustainable urban transport smart city development. Despite its potential, efficiency, cost, scalability remain, necessitating further innovation to unlock these transformative fully.

Language: Английский

Citations

0
Manipulation and control of rotary photon drag in a chiral quantum dot molecular system DOI
Muhammad Idrees, Fazal Badshah, Rashid Ali

et al.

Chinese Journal of Physics, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

0
A Novel Solution Strategy for Scheduling Optimization of Virtual Power Plant Considering Multiple Participants and Peak Energy Market DOI
Xiaoyu Zhang, Laiqing Yan, Zia Ullah

et al.

Renewable Energy, Journal Year: 2025, Volume and Issue: unknown, P. 123275 - 123275

Published: May 1, 2025

Language: Английский

Citations

0
Distributed Consensus-Based Optimal Power Sharing Between Grid and EV Charging Stations Using Derivative-Free Charging Scheduling DOI Creative Commons
Zia Ullah, Laiqing Yan, Anis Ur Rehman

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 127768 - 127781

Published: Jan. 1, 2024

The trending penetration of electric vehicles (EVs) and the emergence new charging stations to existing power grid pose challenges supply security, reliability, economics. optimal coordination strategy between EV is mandatory for secure reliable operation EV-connected entire system fulfill needs at a lower cost. Therefore, current study looks improving energy economics through smart allocation station scheduling. This paper uses distributed consensus-based optimization algorithm (DCBOA) identify best power-sharing arrangement amongst three motorbikes, small EVs, large EVs. Moreover, EVs are also scheduled optimally each using derivative-free (DFOA). results show that sharing has resulted in considerable decrease amount electricity purchased from offer Furthermore, scheduling reduces overall load burden on network. findings emphasize robustness effectiveness proposed approach raising stations.

Language: Английский

Citations

2
A dynamic pricing strategy and charging coordination of PEV in a renewable-grid integrated charging station DOI
Durgesh Choudhary, Rabindra Nath Mahanty, Niranjan Kumar

et al.

Electric Power Systems Research, Journal Year: 2024, Volume and Issue: 238, P. 111105 - 111105

Published: Sept. 27, 2024

Language: Английский

Citations

2