Some 100 to 200 different governmental, utility, industry, and research organizations currently collect water resource data, most of which is in proprietary formats.
If you are getting a capital infusion from equity investors, then the only people getting paid are governmental agencies, utilities and key vendors.
Governmental bodies, utility providers, policy makers, daily consumers, and researchers each have varied — and sometimes differing — interests, questions, and perspectives that any one individual may not be able to anticipate.
It provides its services primarily to governmental, educational, utility and industrial entities.
This selection procedure can be a difficult task because of the initially opposing positions of the different agents involved in this procedure, such as, for example, investors, utilities, governmental agencies or social groups.
That project is the brainchild of representatives from government agencies, non-governmental organizations, agriculture, utilities, energy firms, technology firms, and software development firms working together through the auspices of the Aspen Institute Dialogue Series on Sharing and Integrating Water Data for Sustainability.
In this paper, we take an extra important step by defining a methodology for evolving any existing physical power grid to a good smart grid model, thus laying the foundations for a decision support system for utilities and governmental organizations.
According to PowerGen Renewable Energy, private sector remote microgrids typically cost half as much as similar systems developed by governmental agencies and nationalized utilities.
As per standard practice in the empirical literature, we disregard financial institutions, utilities and governmental enterprises since these types of companies are intrinsically different in terms of the nature of their operations and financial accounting information.
