Authors: Zahra Moslemi, Logan Clark, Sarah Kernal, Samantha Rehome, Scott Sprengel, Ahoora Tamizifar, Shawna Tuli, Vish Chokshi, Mo Nomeli, Ella Liang, Moury Bidgoli, Jeff Lu, Manish Dasaur, Marty Hodgett

Published on: February 06, 2024

Impact Score: 8.35

Arxiv code: Arxiv:2402.04432

Summary

• What is new: This paper introduces comprehensive forecasting models for California’s energy consumption, accounting for the impact of the COVID-19 pandemic and limited data from 2022.
• Why this is important: California’s complex energy landscape requires accurate predictions for effective planning and meeting environmental goals.
• What the research proposes: The study utilizes ARIMA and ARIMAX models to forecast energy consumption across different sources and sectors, integrating historical data and exogenous variables.
• Results: Forecasts indicate the dominance of fossil fuels, significant growth in renewable energy sources, and sector-specific consumption trends.

Technical Details

Technological frameworks used: ARIMA, ARIMAX

Models used: Time series forecasting models

Data used: Historical energy consumption data, exogenous variables (including pandemic-related factors)

Potential Impact

Energy providers, renewable energy companies, sectors heavily dependent on energy consumption (transportation, industrial, residential, commercial)

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