Profiling and reporting statewide energy outlook based on data analytics

Authors

  • Runnan Chen

DOI:

https://doi.org/10.54097/hset.v29i.4213

Keywords:

Renewable energy, data analytics, visualization, KPI, Energy utilization.

Abstract

The new energy production and consumption revolution have made a huge leap since humans entered the 21st century. Generally, researchers can categorize energy twofold: traditional and green resources. Also, a handy work for governors nowadays is evaluating regional energy utilization by checking different energy indexes. However, the diversity of energy resources hinders managerial personnel from effectively judging energy utilization performance. The selection of appropriate KPIs can be quite exhaustive and confusing. In this paper, the data analytics assists and validates the methodology for picking up energy indicators. Then, data visualization provides four portfolios of statewide energy performance. It extends the analysis to the future, and the forecasting visualization offers the possible trends for four states. The discussion and comparison of these four states’ performance finalize this paper.

Downloads

Download data is not yet available.

References

Cox, S., Lopez, A., Grue, N., & Leisch, J. E. (2018, March). Renewable Energy Data, Analysis, and Decisions: A Guide for Practitioners. National Renewable Energy Laboratory (NREL) NREL. https://www.nrel.gov/docs/fy18osti/68913.pdf

EIA. (2022). U.S. Energy Information Administration - EIA - Independent statistics and analysis. U.S. Energy Information Administration (EIA). https://www.eia.gov/opendata/

Global Change Data Lab. (2020, November 28). Energy production and consumption. Our World in Data. https://ourworldindata.org/energy-production-consumption

Renewable energy. (2022). Energy.gov. https://www.energy.gov/eere/renewable-energy

U.S. energy facts explained - consumption and production - U.S. Energy Information Administration (EIA). (2022, June 10). U.S. Energy Information Administration (EIA). https://www.eia.gov/energyexplained/us-energy-facts/

U.S. Energy Information Administration (EIA). (2022, June 23). Mnemonic Series Names (MSN). https://www.eia.gov/state/seds/sep_use/notes/use_a.pdf

Downloads

Published

31-01-2023

How to Cite

Chen, R. (2023). Profiling and reporting statewide energy outlook based on data analytics. Highlights in Science, Engineering and Technology, 29, 44-50. https://doi.org/10.54097/hset.v29i.4213