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limit:

The maximum number of results to return

offset:

The offset of the first result

link:

Show values as links

headers:

Display the headers/property names

mainlabel:

The label to give to the main page name

intro:

The text to display before the query results, if there are any

outro:

The text to display after the query results, if there are any

searchlabel:

Text for continuing the search

default:

The text to display if there are no query results

import-annotation:

Additional annotated data are to be copied during the parsing of a subject

propsep:

The separator between the properties of a result entry

valuesep:

The separator between the values for a property of a result

template:

The name of a template with which to display the printouts

named args:

Name the arguments passed to the template

userparam:

A value passed into each template call, if a template is used

class:

An additional CSS class to set for the list

introtemplate:

The name of a template to display before the query results, if there are any

outrotemplate:

The name of a template to display after the query results, if there are any

sep:

The separator between results

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To embed this query inline into a wiki page use the code below.

{{#ask: [[Category:Activity]] [[Category:Utility]]
 |?Has image#-=2
 |?Has description#-=3
 |format=plainlist
 |limit=50
 |offset=50
 |sort=
 |order=asc
 |mainlabel=
 |template=Show image
 |named args=yes
 |introtemplate=Show image Header
 |outrotemplate=Show link Footer
}}

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Query log

{
    "query_string": "[[Category:Activity]] [[Category:Utility]]",
    "query_source": "SMWSQLStore",
    "query_time": "0.0049",
    "from_cache": false
}

		[[Water Application Management]]
		Watering the grass is one of those activities that is usually a “set it and forget it” process. But when you have 25 million square feet of landscape under irrigation, you can’t afford to waste a single drop. In our situation 1” of overwatering can cost as much as $40,000 a year. So we set out to create a computerized “smart system” that operates with very little human intervention and is active and available at all times. This system is able to give directions to the over 456 field controller locations and receive feedback to help calibrate the system only applying what is necessary to keep the plant material healthy and thriving. There are many horticultural aspects that go into keeping landscape healthy. Of these water is among the most critical. Knowing exactly how much water to use is impossible unless you have a way to measure output and monitor system performance. We created a method to do just that. This method is controlled from a central location and can be accessed on tablets in the field.

		[[Wilsonville Long-Duration Storage System Demonstration]]
		Build a 3 MWh Long-Duration Storage System to demonstrate multiple use cases, including frequency response, contingency reserve, voltage and VAR support, demand response and resource optimization. The project will be located on land adjacent to ESS’ factory headquarters in Wilsonville, Oregon.

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