Novel application of adaptive swarm intelligence techniques coupled with adaptive network-based fuzzy inference system in predicting photovoltaic power
Accurate photovoltaic (PV) power prediction is necessary for future development of the micro-
grids projects and the economic dispatch sector. This study investigates the potential of …
grids projects and the economic dispatch sector. This study investigates the potential of …
Weather impact on solar farm performance: a comparative analysis of machine learning techniques
Forecasting the performance and energy yield of photovoltaic (PV) farms is crucial for
establishing the economic sustainability of a newly installed system. The present study aims …
establishing the economic sustainability of a newly installed system. The present study aims …
Survey on adaptative neural fuzzy inference system (ANFIS) architecture applied to photovoltaic systems
Solar energy has been considered as one of the leading renewable energy sources for
electric power generation. Therefore, intending to deal with a low energy conversion …
electric power generation. Therefore, intending to deal with a low energy conversion …
Fractional chaotic ensemble particle swarm optimizer for identifying the single, double, and three diode photovoltaic models' parameters
D Yousri, SB Thanikanti, D Allam… - Energy, 2020 - Elsevier
Solar Photovoltaic is a widely used renewable energy resource, and hence, the accurate
and effective modeling of the PV system is crucial in real-time. The accurate PV modeling …
and effective modeling of the PV system is crucial in real-time. The accurate PV modeling …
Development of new machine learning model for streamflow prediction: Case studies in Pakistan
For accurate estimation of streamflow of a mountainous river basin, a novel hybrid method is
developed in this study, where gradient-based optimization (GBO) algorithm is employed to …
developed in this study, where gradient-based optimization (GBO) algorithm is employed to …
[HTML][HTML] Evaluating neural network and linear regression photovoltaic power forecasting models based on different input methods
M AlShafeey, C Csáki - Energy Reports, 2021 - Elsevier
As Photovoltaic (PV) energy is impacted by various weather variables such as solar
radiation and temperature, one of the key challenges facing solar energy forecasting is …
radiation and temperature, one of the key challenges facing solar energy forecasting is …
An ANFIS‐based model for solar energy forecasting and its smart grid application
In the present work, a model underlying the principle of adaptive neural‐fuzzy inference
system (ANFIS) architecture is proposed. This research investigates the ANFIS‐based …
system (ANFIS) architecture is proposed. This research investigates the ANFIS‐based …
Biogeography-based teaching learning-based optimization algorithm for identifying one-diode, two-diode and three-diode models of photovoltaic cell and module
This article handles the challenging problem of identifying the unknown parameters of solar
cell three models on one hand and of photovoltaic module three models on the other hand …
cell three models on one hand and of photovoltaic module three models on the other hand …
Site Selection Prediction for Coffee Shops Based on Multi-Source Space Data Using Machine Learning Techniques
J Zhao, B Zong, L Wu - ISPRS International Journal of Geo-Information, 2023 - mdpi.com
Based on a study of the spatial distribution of coffee shops in the main urban area of Beijing,
the main influencing factors were selected based on the multi-source space data …
the main influencing factors were selected based on the multi-source space data …
Forecasting meteorological impacts on the environmental sustainability of a large-scale solar plant via artificial intelligence-based life cycle assessment
Although large-scale solar (LSS) is a promising renewable energy technology, it causes
adverse impacts on the ecosystem, human health, and resource depletion throughout its …
adverse impacts on the ecosystem, human health, and resource depletion throughout its …