{
"id": "dwkprkxY8sc1793372254268",
"videoID": "dwkprkxY8sc",
"title": "",
"caption": "",
"captionStyle": "ideas",
"backgroundImageUrl": "https:\/\/img.youtube.com\/vi\/dwkprkxY8sc\/maxresdefault.jpg",
"imageMedium": "",
"imageLarge": "",
"playLabel": "Play Video",
"transcriptAriaLabel": "Transcript of the video follows",
"skipTranscriptLabel": "skip transcript"
}
{
"description": "",
"ideasArticleShareLabel": "Share",
"projectShareLabel": "Share",
"networks": [
"linkedin",
"twitter",
"email"
]
}
{
"text": "
Water and wastewater utilities face growing uncertainty as weather patterns shift and infrastructure is pushed beyond its original design. To make informed decisions, utilities need a clearer picture of what conditions to expect in the days ahead.
Our researchers are exploring how machine learning and AI can help utilities anticipate wastewater flows into water resource recovery facilities. Using facility data and weather forecasts, the team developed a machine learning model that can predict wastewater flows up to seven days in advance. This model can help utilities plan, manage resources, and respond to changing conditions.
Meet the team that is helping bring these digital tools from pilot to practice across the water sector.
" }
{
"description": "",
"ideasArticleShareLabel": "Share",
"projectShareLabel": "Share",
"networks": [
"linkedin",
"twitter",
"email"
]
}
{
"headline": "From pilot to practice: Predicting influent flows using machine learning",
"contactLabel": "Contact",
"authors": [
{
"promotionalImage": "\/content\/dam\/stantec\/images\/people\/g\/kelly\u002Dgordon\u002Dbw.jpg",
"personFirstName": "Kelly",
"personLastName": "Gordon",
"mappedPromoText": "Kelly is an innovation portfolio manager with Stantec’s Water group. She contributes to the development of internal digital tools that enhance efficiency, promote standardization, and improve quality across our operations.",
"contactEmail": "kelly.gordon@stantec.com"
},
{
"promotionalImage": "\/content\/dam\/stantec\/images\/people\/a\/erin\u002Damoueyan\u002Dbw.jpg",
"personFirstName": "Erin (Erfaneh)",
"personLastName": "Amoueyan",
"mappedPromoText": "Erin is a data scientist based in San Diego who leads Stantec’s machine learning initiatives by developing data-driven solutions, guiding our strategy, and collaborating across teams to bring innovation into water and wastewater projects.",
"contactEmail": "erin.amoueyan@stantec.com"
}
]
}