Kevin F Forbes
Biographic Data
| ID | 713660 |
|---|---|
| NAME | Kevin F Forbes |
| GIVEN NAMES | Kevin F |
| FAMILY NAME | Forbes |
| SIGNATURE | FORBES K F |
| AFFILIATIONS | University of America |
| ORCID | 0000-0002-9521-6845 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 8 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1997 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
Demand for grid-supplied electricity in the presence of distributed solar energy resources
The increasing utilization of distributed energy resources such as behind-the-meter solar has given rise to a grid-supplied load profile conditional on solar conditions that are difficult to forecast using conventional methods. As a result, the accuracy of the load forecasts is reduced, representing a possible operational challenge to system operators. This paper presents a method to resolve this challenge using New York City electricity zone dat…
Accuracy of wind energy forecasts in Great Britain and prospects for improvement
The impacts of religion, political ideology, and social capital on religious and secular giving
Using a double hurdle model and data from the 2006 Social Capital Community Survey (SCCS2006) we examine religious and secular giving, focusing on the impacts of religion, political ideology and social capital. Our main results indicate that greater participation in religious activities positively impacts religious and secular giving, the intensity of religious belief increases religious giving at the expense of secular giving, religious giving b…
Religious Giving by Individuals
Empirical research to date has provided some evidence on factors important to the determination of religious giving as well as to cross denominational differences in religious giving patterns. For example, regression based models of religious giving, typically utilizing data on congregations and congregational contributions, lend considerable support to the observation that Catholics contribute less in amount and as a share of income than do Prot…
Religious Giving by Individuals
Empirical research to date has provided some evidence on factors important to the determination of religious giving as well as to cross denominational differences in religious giving patterns. For example, regression based models of religious giving, typically utilizing data on congregations and congregational contributions, lend considerable support to the observation that Catholics contribute less in amount and as a share of income than do Prot…
Accuracy of wind energy forecasts in Great Britain and prospects for improvement
Religious Giving by Individuals
Empirical research to date has provided some evidence on factors important to the determination of religious giving as well as to cross denominational differences in religious giving patterns. For example, regression based models of religious giving, typically utilizing data on congregations and congregational contributions, lend considerable support to the observation that Catholics contribute less in amount and as a share of income than do Prot…
The impacts of religion, political ideology, and social capital on religious and secular giving
Using a double hurdle model and data from the 2006 Social Capital Community Survey (SCCS2006) we examine religious and secular giving, focusing on the impacts of religion, political ideology and social capital. Our main results indicate that greater participation in religious activities positively impacts religious and secular giving, the intensity of religious belief increases religious giving at the expense of secular giving, religious giving b…
Accuracy of wind energy forecasts in Great Britain and prospects for improvement
Demand for grid-supplied electricity in the presence of distributed solar energy resources
The increasing utilization of distributed energy resources such as behind-the-meter solar has given rise to a grid-supplied load profile conditional on solar conditions that are difficult to forecast using conventional methods. As a result, the accuracy of the load forecasts is reduced, representing a possible operational challenge to system operators. This paper presents a method to resolve this challenge using New York City electricity zone dat…
Economics (4 works) · Econometrics (3 works) · Geography (3 works) · Mathematics (3 works) · Computer Science (2 works) · Demographic economics (2 works) · Electrical engineering (2 works) · Electricity (2 works) · Energy Load and Power Forecasting (2 works) · Engineering (2 works)