Saved in:
| Main Authors: | , , , , , , , , , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2402.04432 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866916117524512768 |
|---|---|
| author | Moslemi, Zahra Clark, Logan Kernal, Sarah Rehome, Samantha Sprengel, Scott Tamizifar, Ahoora Tuli, Shawna Chokshi, Vish Nomeli, Mo Liang, Ella Bidgoli, Moury Lu, Jeff Dasaur, Manish Hodgett, Marty |
| author_facet | Moslemi, Zahra Clark, Logan Kernal, Sarah Rehome, Samantha Sprengel, Scott Tamizifar, Ahoora Tuli, Shawna Chokshi, Vish Nomeli, Mo Liang, Ella Bidgoli, Moury Lu, Jeff Dasaur, Manish Hodgett, Marty |
| contents | California's significant role as the second-largest consumer of energy in the United States underscores the importance of accurate energy consumption predictions. With a thriving industrial sector, a burgeoning population, and ambitious environmental goals, the state's energy landscape is dynamic and complex. This paper presents a comprehensive analysis of California's energy consumption trends and provides detailed forecasting models for different energy sources and sectors. The study leverages ARIMA and ARIMAX models, considering both historical consumption data and exogenous variables. We address the unique challenges posed by the COVID-19 pandemic and the limited data for 2022, highlighting the resilience of these models in the face of uncertainty. Our analysis reveals that while fossil fuels continue to dominate California's energy landscape, renewable energy sources, particularly solar and biomass, are experiencing substantial growth. Hydroelectric power, while sensitive to precipitation, remains a significant contributor to renewable energy consumption. Furthermore, we anticipate ongoing efforts to reduce fossil fuel consumption. The forecasts for energy consumption by sector suggest continued growth in the commercial and residential sectors, reflecting California's expanding economy and population. In contrast, the industrial sector is expected to experience more moderate changes, while the transportation sector remains the largest energy consumer. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_04432 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Comprehensive Forecasting of California's Energy Consumption: A Multi-Source and Sectoral Analysis Using ARIMA and ARIMAX Models Moslemi, Zahra Clark, Logan Kernal, Sarah Rehome, Samantha Sprengel, Scott Tamizifar, Ahoora Tuli, Shawna Chokshi, Vish Nomeli, Mo Liang, Ella Bidgoli, Moury Lu, Jeff Dasaur, Manish Hodgett, Marty Applications California's significant role as the second-largest consumer of energy in the United States underscores the importance of accurate energy consumption predictions. With a thriving industrial sector, a burgeoning population, and ambitious environmental goals, the state's energy landscape is dynamic and complex. This paper presents a comprehensive analysis of California's energy consumption trends and provides detailed forecasting models for different energy sources and sectors. The study leverages ARIMA and ARIMAX models, considering both historical consumption data and exogenous variables. We address the unique challenges posed by the COVID-19 pandemic and the limited data for 2022, highlighting the resilience of these models in the face of uncertainty. Our analysis reveals that while fossil fuels continue to dominate California's energy landscape, renewable energy sources, particularly solar and biomass, are experiencing substantial growth. Hydroelectric power, while sensitive to precipitation, remains a significant contributor to renewable energy consumption. Furthermore, we anticipate ongoing efforts to reduce fossil fuel consumption. The forecasts for energy consumption by sector suggest continued growth in the commercial and residential sectors, reflecting California's expanding economy and population. In contrast, the industrial sector is expected to experience more moderate changes, while the transportation sector remains the largest energy consumer. |
| title | Comprehensive Forecasting of California's Energy Consumption: A Multi-Source and Sectoral Analysis Using ARIMA and ARIMAX Models |
| topic | Applications |
| url | https://arxiv.org/abs/2402.04432 |