Electricity Consumption (kW) Forecast for a Building of Interest Based on a Time Series Nonlinear Regression Model
Olajide Oyebola Omogoroye, Oluwaseun Oladeji Olaniyi, Olubukola Omolara Adebiyi, Tunbosun Oyewale Oladoyinbo, Folashade Gloria Olaniyi
Asian Journal of Economics, Business and Accounting · pp. 197–207 · Published 20 Oct 2023
10.9734/ajeba/2023/v23i211127Abstract
This paper investigates the relationship between a building's past energy consumption and the outdoor temperature and predicts the next day's energy consumption using a refined time series model. Maintaining optimal indoor temperatures relative to outdoor temperatures determines a building's HVAC demand and, thus, energy consumption. We want to determine how outdoor temperature and other factors determine this consumption. With increasing urbanization and energy demand, it is important to understand building energy consumption, especially in terms of its impact on the environment. Previous research has shown the link between electricity consumption and external environmental factors and highlighted energy optimization's importance in urban structures. As cities become large energy consumers, studies point to the need to understand energy use patterns on a regional and temporal scale. For accurate energy forecasts, data becomes the linchpin. Time series—data points arranged in chronological intervals—are foundational in predictive modeling. Due to buildings' intricate electricity consumption patterns, traditional linear forecasting often falls short. Enter nonlinear regression models: These complex models are apt for mapping and predicting nonlinear data trends. Notwithstanding their advantages, they come with challenges, primarily the high-frequency data influx from smart meters and IoT devices. But their potential benefits - from cost savings to efficient energy management - are significant. In a world caught between urban expansion and ecological preservation, efficient energy management is crucial. Accurate energy forecasting, especially for buildings, combines technological advances, statistical acumen and environmental imperatives. Understanding building energy consumption using sophisticated nonlinear regression models is evolving from an academic goal to a global necessity.
References (22)
- 1 Influence of partially known parameter on flaw characterization in Eddy Current Testing by using a random walk MCMC method based on metamodeling [DOI]
- 2 Chapter 12: What does the Anthropocene hold for citizenship? [DOI]
- 3 North–south polarization of European electricity consumption under future warming [DOI]
- 4 Advancing Data-Driven Decision-Making in Smart Cities through Big Data Analytics: A Comprehensive Review of Existing Literature [DOI]
- 5 Smart meters and household electricity consumption: A case study in Ireland [DOI]
- 6 Forecasting and Assessing Risk of Individual Electricity Peaks [DOI]
- 7 Utilizing Big Data Analytics and Business Intelligence for Improved Decision-Making at Leading Fortune Company [DOI]
- 8 Effects of Information Governance (IG) on Profitability in the Nigerian Banking Sector [DOI]
- 9 The Importance of COSO Framework Compliance in Information Technology Auditing and Enterprise Resource Management [DOI]
- 10 Navigating Risk in the Modern Business Landscape: Strategies and Insights for Enterprise Risk Management Implementation [DOI]
- 11 Exploring the Landscape of Decentralized Autonomous Organizations: A Comprehensive Review of Blockchain Initiatives [DOI]
- 12 ICT, Financial Development, Economic Growth and Electricity Consumption: New Evidence from Malaysia [DOI]
- 13 MDPI Multidisciplinary Digital Publishing Institute
- 14 Under Pressure! Nudging Electricity Consumption within Firms. Feedback from a Field Experiment [DOI]
- 15 Electricity consumption in Australia: the role of clean energy in reducing CO2 emissions [DOI]
- 16 Short Time Electricity Consumption Forecast in an Industry Facility [DOI]
- 17 South East Europe electricity roadmap – modelling energy transition in the electricity sectors [DOI]
- 18 Methods on reflecting electricity consumption change characteristics and electricity consumption forecasting based on clustering algorithms and fuzzy matrices in buildings [DOI]
- 19 Research on customer’s electricity consumption behavior pattern [DOI]
- 20 Households’ Electricity Consumption in Hungarian Urban Areas [DOI]
- 21 Spatial spillover effects and action paths of electricity consumption driven by China’s financial development based on global co-integration [DOI]
- 22 Evaluation of Energy Efficiency and Flexibility in Smart Buildings [DOI]
Cited by 60
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