Harshal Naik,
Akshay Shukla,
Fajan Sunusara,
Priya Parate,
- Student, Department of Computer Engineering, Rajiv Gandhi Institute of Technology, Mumbai University, Mumbai, Maharashtra, India
- Student, Department of Computer Engineering, Rajiv Gandhi Institute of Technology, Mumbai University, Mumbai, Maharashtra, India
- Student, Department of Computer Engineering, Rajiv Gandhi Institute of Technology, Mumbai University, Mumbai, Maharashtra, India
- Professor, Department of Computer Engineering, Rajiv Gandhi Institute of Technology, Mumbai University, Mumbai, Maharashtra, India
Abstract
Household energy consumption is a dynamic and multifaceted domain influenced by various factors, including seasonality, weather conditions, and individual consumption habits. For homeowners looking to control expenses, lessen their impact on the environment, and contribute to a sustainable future, accurate forecasting is essential. Precise forecasting is also essential for utility firms to maximize energy production, distribution, and demand control. In a time when resource efficiency and environmental awareness are paramount, effective management of household energy consumption is essential. In order to fully explore advanced time series forecasting methods, this study will especially utilize the Seasonal Autoregressive Integrated Moving Average (SARIMA) model. The main goal is to create reliable forecasting models that can precisely estimate household energy use. By encouraging more responsible resource allocation and energy saving behaviour’s, these models have the potential to completely transform the way utility companies and homeowners make decisions.
Keywords: Household energy consumption, Forecasting techniques, Seasonal Autoregressive Integrated Moving Average (SARIMA) model, Sustainability, Resource utilization, Utility companies, Environmental consciousness.
[This article belongs to Journal of Alternate Energy Sources & Technologies (joaest)]
Harshal Naik, Akshay Shukla, Fajan Sunusara, Priya Parate. Improving Energy Management Systems with SARIMA-Based Forecasting of Household Energy Consumption. Journal of Alternate Energy Sources & Technologies. 2024; 15(01):-.
Harshal Naik, Akshay Shukla, Fajan Sunusara, Priya Parate. Improving Energy Management Systems with SARIMA-Based Forecasting of Household Energy Consumption. Journal of Alternate Energy Sources & Technologies. 2024; 15(01):-. Available from: https://journals.stmjournals.com/joaest/article=2024/view=174892
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Journal of Alternate Energy Sources & Technologies
| Volume | 15 |
| Issue | 01 |
| Received | May 9, 2024 |
| Accepted | May 18, 2024 |
| Published | May 28, 2024 |