AI-Enabled Big Data Analytics for Climate Change Prediction and Environmental Monitoring
DOI:
https://doi.org/10.63282/3050-9246.IJETCSIT-V4I3P108Keywords:
Artificial Intelligence, Climate Change Prediction, Environmental Monitoring, Deep Learning, Predictive AnalyticsAbstract
Climate change poses an escalating global challenge, demanding accurate forecasting and continuous environmental monitoring. As climate-related information provided by satellites, weather stations, sensors, etc. is growing exponentially, the role of Artificial Intelligence (AI) and Big Data Analytics integration has become critical. In this paper, an Artificial Neural Network (ANN) based framework that predicts the climate patterns utilizing ten years of weather data is presented using AI. The ANN model was trained and validated after intensively cleaning, normalizing and engineering the data. It recorded excellent performance measures of R^2 of 96.25, MSE of 0.0175, RMSE of 0.194, and MAE of 0.155 and surpassed MLR and Deep CNN. These findings prove the model to be very satisfactory in terms of its ability to capture non-linear climatic associations as well as its capacity to produce credible predictions. This will enable policymakers and environmental scientists to make sustainable climate strategies in real-time by improving the predictive accuracy
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