Open Access. Powered by Scholars. Published by Universities.®
Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Air pollution hazards (1)
- Applied econometrics (1)
- Arkansas (1)
- Border economics (1)
- Customer base analysis (1)
-
- Environmental justice (1)
- Error correction modeling (1)
- Forecasting (1)
- Generation (1)
- Juarez mexico metropolitan economy (1)
- Latina/o communities (1)
- Long-run and short-run electricity demand analysis (1)
- Migration (1)
- PV (1)
- Positive price elasticity (1)
- Power (1)
- Qualitative methods (1)
- Residential Electricity (1)
Articles 1 - 4 of 4
Full-Text Articles in Social and Behavioral Sciences
Residential Electricity Demand In Arkansas, Ileana M. Resendez
Residential Electricity Demand In Arkansas, Ileana M. Resendez
Open Access Theses & Dissertations
This study analyzes residential electricity demand in Arkansas. Explanatory variables utilized include real per capita income, residential electricity price, heating degree days, cooling degree days, and residential natural gas price. The results indicate that the income effect dominates the substitution effect given a real personal income increase and a decline in real electricity rates in the state of Arkansas during the period under study.
Hispanic Communities And Environmental Justice: A Comparative Study Of Mobility And Exposure To Air Toxics In Houston, Maricarmen Hernandez
Hispanic Communities And Environmental Justice: A Comparative Study Of Mobility And Exposure To Air Toxics In Houston, Maricarmen Hernandez
Open Access Theses & Dissertations
Environmental justice research has focused too little attention on immigrant communities. This study extends from the premise that themes of immigration and mobility among racial/ethnic minority communities must be more carefully analyzed by environmental justice (EJ) scholars. By clarifying why Hispanic people live where they live, and what factors shape their exposures to cancer risks from hazardous air pollutants, this study aims to contribute to the existing EJ body of knowledge. The analysis employs qualitative methods, implemented as part of a larger National Science Foundation-funded study. In-depth semi-structured phone interviews were conducted with randomly selected Hispanic individuals, some of whom …
Solar Pv Power Generation Forecasting Using Hybrid Intelligent Algorithms And Uncertainty Quantification Based On Bootstrap Confidence Intervals, Donna Alhakeem
Solar Pv Power Generation Forecasting Using Hybrid Intelligent Algorithms And Uncertainty Quantification Based On Bootstrap Confidence Intervals, Donna Alhakeem
Open Access Theses & Dissertations
This Thesis focuses on short-term photovoltaic forecasting (STPVF) for the power generation of a solar PV system using probabilistic forecasts and deterministic forecasts. Uncertainty estimation, in the form of a probabilistic forecast, is emphasized in this Thesis to quantify the uncertainties of the deterministic forecasts. Two hybrid intelligent models are proposed in two separate chapters to perform the STPVF. In Chapter 4, the framework of the deterministic proposed hybrid intelligent model is presented, which is a combination of wavelet transform (WT) that is a data filtering technique and a soft computing model (SCM) that is generalized regression neural network (GRNN). …
A Long- And Short-Run Analysis Of Electricity Demand In Ciudad Juarez, Ericka Cecilia Mendez
A Long- And Short-Run Analysis Of Electricity Demand In Ciudad Juarez, Ericka Cecilia Mendez
Open Access Theses & Dissertations
Economic growth and appliance saturation are increasing electricity consumption in Mexico. Annual frequency data from 1990 to 2012 are utilized to develop an error correction framework that sheds light on short- and long-run electricity consumption behavior in Ciudad Juarez, a large Mexican metropolitan economy at the border with the United States. The results for this study reveal that electricity is an inelastic normal good in this market. Moreover, natural gas is found to be a weak complement to electricity. With regards to the customer base in this urban economy, population, employment, and income exercise positive and statistically significant impacts on …