We chose the National Library of Energy (NLE) as our database, which deals with how the citizens are being educated. This database will help our citizen access information easily. We can improve the interfaces of the data set by using three colored buttons with three queries. The first query is a red button, which is for basic facts. The second query is a yellow button, which is for the attributes and the entities. The ...more »
Using Existing Datasets
As an analyst in O&G, I have a need for a clear integral vision of the US oil and gas transport infrstructure including main existing and projeted pipelines, refineries and proseccing pants, LNG terminals etc. Geographical price spreads are crucial for today's oil and gas markets, while thay are mainly caused by fast changes in production profiles and unadequate transport capacities. Clear vision of how the oil moves ...more »
In America, Energy Awareness is still a challenge. Department of Energy has done an excellent job of consolidating energy information. In particular, DSIREUSA.ORG is an excellent tool that identifies the incentives in the respective regional. What we lack is awareness and quantifying the energy usage through the day, week, weekends, and seasons, year over year by various energy users and our facilities energy profile ...more »
As energy researchers, the Department of Energy datasets are the foundation of our work. Choosing the most valuable among them is like being asked to choose the most valuable book from a library – the value comes from the library itself, not the single book. Yet, no dataset in recent memory has proved more important than OpenEI.gov’s new Transparent Cost Database (http://en.openei.org/apps/TCDB/). This database displays ...more »
I believe that many would appreciate any datafeed mechanism that would allow to automatically import and update sets of EIA data to MS Excel or similar using common ways of doing that.
A key challenge facing residential and small business utility customers that are considering installing PV solar is accurately estimating the impact of various PV system sizes and utility rate structures on the payback period. Most utility customers struggle to perform cost calculations necessary to optimize their return on investment on solar projects. For a typical electrical customer problem becomes hopelessly complex ...more »
Hi United States of America.
You cuzzies should compile your demand by us suburb and location type and capacity of your plants and their marginal cost. use this data to do some sweet network optimisation so your low and high marginal cost plants are located optimally to reduce your transmission losses.
Although all you guys are pretty smart and I imagine of already do this.
One of the biggest problems with the electric industry today is that it insulates the consumer from the "pain" of the wholesale energy market. This should at least be offered as an option to consumers. There is no technical barrier to prevent the implementation of a retail real-time price market to consumers. This should be offered to them as an alternative to the other tariff options they are given. Fifteen states also ...more »
Green Button is a great way to get customers, developers and energy providers engaged and excited about the usage of energy. It enables change by allowing access to a dataset previously unavailable. But what if we could make access to this data faster. dataCapable is proposing a change. Push the API to the edge. We'd like to see it at the meter although we understand it's going to take a lot of work with the metering ...more »
Develop predictive analytics software to forecast near-future energy pricing by extracting data from the United States Energy Information Administration (EIA) website including the historical prices of gasoline, crude oil, and electricity. Based upon these historical energy pricing trends, predicted weather patterns, location, and Monte-Carlo analysis that predicts future geopolitical events, extreme weather events, discovery ...more »
My video describes a mathematical model which predicts which states would best host new solar energy rooftop photovoltaic system installation businesses. It is meant to promote efficient growth of the solar energy market.
Of the four Topic datasets listed in the NLE( National Energy Library That encompass all available energy data sets in the DOE complex) ...more »