Analysis of the market for artificial solar power generation

Explainable AI and optimized solar power generation

This paper proposes a model called X-LSTM-EO, which integrates explainable artificial intelligence (XAI), long short-term memory (LSTM), and equilibrium optimizer (EO) to reliably forecast solar power

Employing machine learning for advanced gap imputation in solar power

The state-of-the-art approach in applying random forest for solar energy analysis predictions reveals a growing trend in the use of artificial intelligence (AI) techniques

Solar power generation by PV (photovoltaic) technology: A review

For the generation of electricity in far flung area at reasonable price, sizing of the power supply system plays an important role. Photovoltaic systems and some other renewable

Machine Learning Models for Solar Power Generation

In the context of escalating concerns about environmental sustainability in smart cities, solar power and other renewable energy sources have emerged as pivotal players in the global effort to curtail greenhouse gas

Regression analysis and prediction of monthly wind and solar power

Research on predicting renewable energy generation can be categorized based on time scales into ultra-short term forecasting (Li et al., 2021), short term forecasting (Li et al., 2022), and

A Review and Analysis of Forecasting of Photovoltaic Power Generation

The solar radiation is converted into electricity using semiconductors and the current efficiency of PV panels is established between 5–20%, and PV is still requiring new

Solar Power Forecasting Using Artificial Neural

The paper presents an artificial neural network model to produce solar power forecasts. Sensitivity analysis of several input variables for best selection, and comparison of the model performance

Techno-Economic Feasibility Analysis of Solar Photovoltaic Power

In this paper literature review pertaining to techno-economic feasibility analysis of solar photovoltaic power generation is discussed. in the market which can work directly on

Prediction of energy photovoltaic power generation based on artificial

The key to the coordination of photovoltaic power generation and conventional energy power load lies in the accurate prediction of photovoltaic power generation. At present,

(PDF) Solar Power Prediction with Artificial

Solar Power Prediction with Artificial Intelligence. February 2024; Comparison analysis of machine learning technique. Compared to the actual solar power generation for the performance of

Executive summary – Electricity 2024 – Analysis

Electricity 2024 - Analysis and key findings. A report by the International Energy Agency. Electricity consumption from data centres, artificial intelligence (AI) and the cryptocurrency

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