A review and evaluation of the state-of-the-art in PV solar power forecasting: Techniques and optimization
Integration of photovoltaics into power grids is difficult as solar energy is highly dependent
on climate and geography; often fluctuating erratically. This causes penetrations and voltage …
on climate and geography; often fluctuating erratically. This causes penetrations and voltage …
Advances in PV and PVT cooling technologies: A review
Cooling with nanofluids has been one of the most promising cooling strategies used to
minimize PV module temperature and enhance the performance of the system. This article …
minimize PV module temperature and enhance the performance of the system. This article …
Solar photovoltaic power prediction using artificial neural network and multiple regression considering ambient and operating conditions
This paper proposes artificial neural network (ANN) and regression models for photovoltaic
modules power output predictions and investigates the effects of climatic conditions and …
modules power output predictions and investigates the effects of climatic conditions and …
Investigating photovoltaic solar power output forecasting using machine learning algorithms
Solar power integration in electrical grids is complicated due to dependence on volatile
weather conditions. To address this issue, continuous research and development is required …
weather conditions. To address this issue, continuous research and development is required …
Ensemble approach of optimized artificial neural networks for solar photovoltaic power prediction
The use of data-driven ensemble approaches for the prediction of the solar Photovoltaic
(PV) power production is promising due to their capability of handling the intermittent nature …
(PV) power production is promising due to their capability of handling the intermittent nature …
[HTML][HTML] Forecasting solar photovoltaic power production: A comprehensive review and innovative data-driven modeling framework
The intermittent and stochastic nature of Renewable Energy Sources (RESs) necessitates
accurate power production prediction for effective scheduling and grid management. This …
accurate power production prediction for effective scheduling and grid management. This …
Extreme learning machines for solar photovoltaic power predictions
The unpredictability of intermittent renewable energy (RE) sources (solar and wind)
constitutes reliability challenges for utilities whose goal is to match electricity supply to …
constitutes reliability challenges for utilities whose goal is to match electricity supply to …
Solar radiation forecasting by pearson correlation using LSTM neural network and ANFIS method: application in the west-central Jordan
Solar energy is one of the most important renewable energies, with many advantages over
other sources. Many parameters affect the electricity generation from solar plants. This paper …
other sources. Many parameters affect the electricity generation from solar plants. This paper …
IoT-based weather station with air quality measurement using ESP32 for environmental aerial condition study
P Megantoro, SA Aldhama… - TELKOMNIKA …, 2021 - telkomnika.uad.ac.id
This article discusses the design of a weather station device that also functions to measure
the concentration of gases in the air. This real-time telemetry device based on the internet of …
the concentration of gases in the air. This real-time telemetry device based on the internet of …
A review of machine learning-based photovoltaic output power forecasting: Nordic context
Motivated by factors such as the reduction in cost and the need for a shift towards achieving
UN's Sustainable Development Goals, PV (Photovoltaic) power generation is getting more …
UN's Sustainable Development Goals, PV (Photovoltaic) power generation is getting more …