Solar Power Generation Intelligence

A Novel Deep Learning-Based Data Analysis Model for Solar

Photovoltaic power generation forecasting is short term by considering climatic data such as solar irradiance, temperature, and humidity. Moreover, we have proposed a novel hybrid deep

Full article: AI-based forecasting for optimised solar energy

Therefore, this research underscores the potential of AI-based prediction in fostering efficient solar energy management and enhancing Smart Grid reliability and efficiency. 1. Introduction.

SPXAI: Solar Power Generation with Explainable AI Technology

The integration of XAI with machine learning and deep learning technologies has markedly advanced the field of solar power generation. The proposed SPXAI model effectively tackles the unpredictability

Artificial intelligence based hybrid solar energy systems with smart

A combination of AI, smart materials, adaptive solar cells, and blockchain power distribution provides a new solution towards weather-independent and autonomous solar power

Solar Intelligence Predictive Models For Power Generation And

Solar Intelligence Predictive Models for Power Generation and Radiation play a pivotal role in optimizing the efficiency and reliability of solar energy systems.

Gaining Insight into Solar Photovoltaic Power Generation Forecasting

Understanding the inner workings of a prediction model based on AI can give insights into the application field. Such insight can provide improvements to the solar PV forecasting models and

Regional solar generation prediction with metaheuristically optimized

Accurate short-term forecasting of PV generation is therefore essential for secure grid operation and efficient energy dispatch. Forecasting horizons are commonly categorized into short-term (1–24 h),

Explainable AI and optimized solar power generation forecasting

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

Solar Intelligence Predictive Models for Power Generation and Radiation

Abstract: The rapid adoption of solar photovoltaics (PV) in power distribution systems demands accurate models for power generation and solar radiation prediction.

Machine learning insights into forecasting solar power generation with

In this paper, a comprehensive study using ML and XAI methods to forecast solar generation has been presented. The main goal here is to support electricity providers and their

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