Results 151 to 160 of about 20,743 (267)

Solar PV Generation and Consumption Dataset of an Estonian Residential Dwelling. [PDF]

Sci Data
Hasan S, Blinov A, Chub A, Vinnikov D.
europepmc   +1 more source

Techno‐Economic and Quasi‐Dynamic Load Flow Analysis of a Hybrid Renewable Microgrid for Coastal Industrial Loads

Energy Science &Engineering, EarlyView.
A hybrid PV–wind grid‐connected microgrid for Mongla Port is optimized using HOMER Pro and validated via DIgSILENT quasi‐dynamic load flow. The system achieves a low cost of energy (0.0341 USD/kWh), 70.9% renewable penetration, improved voltage stability, and significant emission reduction, demonstrating a reliable and cost‐effective solution for ...
Md. Behesty Hasan Sagor, Md Abdus Samad Kamal, Md. Feroz Ali, Md. Mahedi Hasan, Fahad Saleh Al‐Ismail, Md Shafiul Alam, Mohammad Ali   +6 more
wiley   +1 more source

Drivers, barriers and enablers of a South African circular solar PV module supply chain: A focus on reuse. [PDF]

Waste Manag Res
Crozier MN, Ntsala PG, Schenck C, Crozier McCleland J, van Dyk EE, Petersen J.   +5 more
europepmc   +1 more source

Urban–Rural Comparative Assessment of Hybrid Energy Systems in Southern Africa: A Systematic Review and Bibliometric Analysis

Energy Science &Engineering, EarlyView.
This study synthesizes urban hybrid energy system deployments in Southern Africa, revealing dominant PV–battery configurations, strong cost and emissions benefits, and persistent research concentration in South Africa, highlighting opportunities to scale resilient, low‐carbon urban energy solutions across the region.
Kehinde A. Adeyeye, Charles Mbohwa
wiley   +1 more source

Enhancing microgrid resilience through integrated grid-forming and grid-following inverter strategies for solar PV battery control and fault ride-through. [PDF]

Sci Rep
Hossain MI, Anonto HZ, Shufian A, Pathik BB, Mannan MA, Rashid A, Biswas P.   +6 more
europepmc   +1 more source

Analysis and Classification of Partial Shading Conditions in Photovoltaic Arrays

Energy Science &Engineering, EarlyView.
This study presents new mathematical models for describing P–V curve extrema under different shading scenarios and applies machine learning classifiers that use features derived from P–V characteristics for accurate fault identification. ABSTRACT With the escalating global transition toward renewable energy, ensuring the operational stability and ...
Hamid Reza Parsa, Mohammad Sarvi
wiley   +1 more source

A fuzzy logic based energy management model for solar PV-wind standalone with battery storage system. [PDF]

Sci Rep
Alfred N, Guntreddi V, Shuaibu AN, Bakare MS.   +3 more
europepmc   +1 more source

Predicting Solar Photovoltaic Power Output in Saudi Arabia's Jazan Region: Performance Comparison of Machine Learning Models

Energy Science &Engineering, EarlyView.
Workflow of the PV power estimation and ML forecasting methodology. ABSTRACT Accurate prediction of solar panel energy output is vital for managing power systems effectively and maintaining a stable electrical grid. This is especially important in regions that rely heavily on renewable sources. This research provides a direct comparison of five machine
Abdoalateef Alzhrani, Abdullahi Abubakar Mas'ud, Mohd Khairul Amri Kamarudin, Firdaus Muhammad‐Sukki, Abdullahi Mohammad   +4 more
wiley   +1 more source

Improved Power Tracking and Performance Evaluation Using a Tri‐Meta Hybrid DOA–CSA–WOA‐Based MPPT Controller for Standalone PV System

Energy Science &Engineering, EarlyView.
A Tri‐Meta Hybrid DOA–CSA–WOA Maximum Power Point Tracking controller is developed to enhance photovoltaic system performance. The proposed approach achieves higher tracking efficiency, faster convergence, and robust operation under dynamic irradiance and partial shading conditions.
Ali Abbas, Muhammad Farhan, Nouman Safdar, Muhammad Junaid Rabbani, Mohammad Rashed M. Altimania, Waleed Mohammed Abdelfattah, Hafiz Mudassir Munir   +6 more
wiley   +1 more source

Optimized unit commitment for peak load management with solar PV and storage under load uncertainty. [PDF]

Sci Rep
Jain S, Kanwar N.
europepmc   +1 more source