Imagine trying to predict how much electricity we'll need tomorrow. It's like planning a picnic without knowing if it'll be sunny or rainy. That's where weather comes in. This research dug deep into how temperature, humidity, and wind affect our electricity demand. They used a fancy model called Enhanced Inception-V4, which is great at learning from data. To make it even better, they added a smart tool called Improved Osprey Optimizer. This duo was tested from 2003 to 2023 and showed impressive results. Traditional methods are so yesterday!

The Enhanced Inception-V4 model is like a detective, finding clues in the data that tell us why we use more or less electricity. Meanwhile, the Improved Osprey Optimizer tweaks the model's settings, making it adaptable to different weather conditions. It's like having a weather-smart brain that can learn and adapt.

The study found that extreme weather events make a big difference in our energy usage. Think about it: we use more electricity to heat our homes in winter and cool them in summer. This tells us we need to plan ahead for future weather and energy needs.

Looking ahead, from 2024 to 2030, electricity demand is expected to rise. So, it's crucial for governments and companies to be proactive. They need to update their policies and infrastructure to keep up with the growing demand.

This research shows that climate has a huge impact on how much energy we use. It also proves that modern predictive models can make our energy planning much more accurate.

Weather's Role in Electricity Demand: A New Forecasting Method

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