4.6 Article

Photovoltaic output power performance assessment and forecasting: Impact of meteorological variables

Related references

Note: Only part of the references are listed.
Article Automation & Control Systems

Multivariate feature extraction based supervised machine learning for fault detection and diagnosis in photovoltaic systems

Mansour Hajji et al.

Summary: This paper aims to develop an improved FDD technique for PV system faults, utilizing principal component analysis for feature extraction and selection, and supervised machine learning classifiers for fault diagnosis. Experimental results confirm the feasibility and effectiveness of the proposed approaches for fault detection and diagnosis.

EUROPEAN JOURNAL OF CONTROL (2021)

Article Thermodynamics

Tree-based ensemble methods for predicting the module temperature of a grid-tied photovoltaic system in the desert

Abderrezzaq Ziane et al.

Summary: This study utilized tree-based ensemble methods such as random forest and boosted decision tree to predict the module temperature of a grid-tied photovoltaic system, with hyper-tuning done to optimize model parameters. Results showed that the tree-based ensemble methods maintained high accuracy during testing, outperforming classical methods, especially artificial neural networks.

INTERNATIONAL JOURNAL OF GREEN ENERGY (2021)

Article Management

Comparison of artificial intelligence and empirical models for energy production estimation of 20 MWp solar photovoltaic plant at the Saharan Medium of Algeria

Kada Bouchouicha et al.

Summary: This study estimated the electric power production of a 20 MWp solar photovoltaic plant in Algeria using minimal knowledge about weather conditions, utilizing linear and nonlinear simulation models. Comparison between artificial neural network (ANN) and multiple linear regression (MLR) models showed that ANN-based models were superior in prediction accuracy, with cascade-forward neural network (CNN) models providing the most accurate results. The proposed forecasting model has practical implications for solar PV forecasting and social implications for improving grid electricity system operations.

INTERNATIONAL JOURNAL OF ENERGY SECTOR MANAGEMENT (2021)

Article Green & Sustainable Science & Technology

Status of renewable energy potential and utilization in Algeria

Ahmed Bouraiou et al.

JOURNAL OF CLEANER PRODUCTION (2020)

Article Energy & Fuels

Snapshot of Photovoltaics-February 2020

Arnulf Jager-Waldau

ENERGIES (2020)

Article Computer Science, Artificial Intelligence

Short-term photovoltaic power generation forecasting based on random forest feature selection and CEEMD: A case study

Dongxiao Niu et al.

APPLIED SOFT COMPUTING (2020)

Article Green & Sustainable Science & Technology

A systematic analysis of meteorological variables for PV output power estimation

Tarek AlSkaif et al.

RENEWABLE ENERGY (2020)

Article Energy & Fuels

Reduced Kernel Random Forest Technique for Fault Detection and Classification in Grid-Tied PV Systems

Khaled Dhibi et al.

IEEE JOURNAL OF PHOTOVOLTAICS (2020)

Article Environmental Sciences

Effect of sand dust accumulation on photovoltaic performance in the Saharan environment: southern Algeria (Adrar)

Mohammed Mostefaoui et al.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2019)

Article Computer Science, Information Systems

Adaptive Predictor Subset Selection Strategy for Enhanced Forecasting of Distributed PV Power Generation

Abinet Tesfaye Eseye et al.

IEEE ACCESS (2019)

Review Thermodynamics

Solar photovoltaic generation forecasting methods: A review

Sobrina Sobri et al.

ENERGY CONVERSION AND MANAGEMENT (2018)

Article Energy & Fuels

PV Power Forecasting Using an Integrated GA-PSO-ANFIS Approach and Gaussian Process Regression Based Feature Selection Strategy

Yordanos Kassa Semero et al.

CSEE JOURNAL OF POWER AND ENERGY SYSTEMS (2018)

Proceedings Paper Thermodynamics

Forecasting of PV Power Generation using weather input data-preprocessing techniques

Maria Malvoni et al.

ATI 2017 - 72ND CONFERENCE OF THE ITALIAN THERMAL MACHINES ENGINEERING ASSOCIATION (2017)

Article Computer Science, Artificial Intelligence

Photovoltaic forecast based on hybrid PCA-LSSVM using dimensionality reducted data

M. Malvoni et al.

NEUROCOMPUTING (2016)

Article Green & Sustainable Science & Technology

Comparison of Photovoltaic plant power production prediction methods using a large measured dataset

G. Graditi et al.

RENEWABLE ENERGY (2016)

Article Engineering, Electrical & Electronic

Photovoltaic power forecasting using statistical methods: impact of weather data

Maria Grazia De Giorgi et al.

IET SCIENCE MEASUREMENT & TECHNOLOGY (2014)

Review Green & Sustainable Science & Technology

A review on the renewable energy development in Algeria: Current perspective, energy, scenario and sustainability issues

A. Boudghene Stambouli et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2012)

Article Thermodynamics

Measured performance of a 1.72 kW rooftop grid connected photovoltaic system in Ireland

L. M. Ayompe et al.

ENERGY CONVERSION AND MANAGEMENT (2011)

Article Engineering, Multidisciplinary

A review of single-phase grid-connected inverters for photovoltaic modules

SB Kjaer et al.

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2005)

Article Computer Science, Artificial Intelligence

Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy

HC Peng et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2005)

Article Computer Science, Artificial Intelligence

A data complexity analysis of comparative advantages of decision forest constructors

TK Ho

PATTERN ANALYSIS AND APPLICATIONS (2002)