{"id":1004244698,"date":"2018-07-24T07:16:08","date_gmt":"2018-07-24T15:16:08","guid":{"rendered":"https:\/\/www.commercialsearch.com\/news\/?p=1004244698"},"modified":"2022-12-08T06:20:56","modified_gmt":"2022-12-08T14:20:56","slug":"jhu-ibm-team-up-on-ai-forecast-technology-to-benefit-solar","status":"publish","type":"post","link":"https:\/\/www.commercialsearch.com\/news\/jhu-ibm-team-up-on-ai-forecast-technology-to-benefit-solar\/","title":{"rendered":"Johns Hopkins, IBM Team to Upgrade Solar Forecasts"},"content":{"rendered":"<p>By Anca Gagiuc<\/p>\n<p><a href=\"https:\/\/www.commercialsearch.com\/news\/wp-content\/uploads\/sites\/46\/2018\/07\/american-public-power-association-430868-unsplash.jpg\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" data-attachment-id=\"1004244743\" data-permalink=\"https:\/\/www.commercialsearch.com\/news\/jhu-ibm-team-up-on-ai-forecast-technology-to-benefit-solar\/american-public-power-association-430868-unsplash\/\" data-orig-file=\"https:\/\/www.commercialsearch.com\/news\/wp-content\/uploads\/sites\/46\/2018\/07\/american-public-power-association-430868-unsplash.jpg\" data-orig-size=\"800,620\" data-comments-opened=\"0\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;1&quot;}\" data-image-title=\"american-public-power-association-430868-unsplash\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/www.commercialsearch.com\/news\/wp-content\/uploads\/sites\/46\/2018\/07\/american-public-power-association-430868-unsplash.jpg?w=800\" class=\"alignright wp-image-1004244743 size-medium\" src=\"https:\/\/www.commercialsearch.com\/news\/wp-content\/uploads\/sites\/46\/2018\/07\/american-public-power-association-430868-unsplash.jpg\" alt=\"\" width=\"300\" height=\"233\" srcset=\"https:\/\/www.commercialsearch.com\/news\/wp-content\/uploads\/sites\/46\/2018\/07\/american-public-power-association-430868-unsplash.jpg 800w, https:\/\/www.commercialsearch.com\/news\/wp-content\/uploads\/sites\/46\/2018\/07\/american-public-power-association-430868-unsplash.jpg?resize=300,233 300w, https:\/\/www.commercialsearch.com\/news\/wp-content\/uploads\/sites\/46\/2018\/07\/american-public-power-association-430868-unsplash.jpg?resize=768,595 768w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a>Traditional power suppliers have to predict how much power a region will need a day in advance with an error margin of 5 percent. Considering that solar and wind power accounts for about 10 percent of all electricity produced in the U.S., in recent years, this task has gotten increasingly more difficult.<\/p>\n<p>There is no solar power without sunny days, and when sunshine is not in abundance, solar customers need traditional power sources or storage to tide them over with electricity. Unfortunately, there is little storage available in most places, and back-up power suppliers have not managed to adequately prepare for this fluctuating demand. This inability to predict without over- or underestimating is costly on one hand, while on the other can waste fuel and increase pollution if it goes too high, or risk power shortages if it\u2019s too low.<\/p>\n<p>A new Johns Hopkins University-led project aims to change that by developing a more accurate forecast system. With the support of a nearly $2 million grant from the U.S. Department of Energy\u2019s Solar Energy Technologies Office, engineers from JHU are aiming to tweak the system to more precisely estimate a region\u2019s solar and traditional power needs on any given day.<\/p>\n<h2>High-profile partnership<\/h2>\n<p>JHU is teaming up with IBM\u2019s Thomas J. Watson Research Center, the National Renewable Energy Laboratory, the University of Texas at Dallas and power grid operators in California and the central portion of the U.S. IBM entered the meteorological industry in 2015, when it acquired The Weather Co.\u2014including weather.com and several meteorological data firms.<\/p>\n<p><em>\u201cThis has the potential to do the economy, the environment and consumers a lot of good,\u201d<\/em> project lead&nbsp;Benjamin Hobbs, the Theodore M. and Kay W. Schad professor of environmental management at Johns Hopkins, said in a prepared statement. <em>\u201cThis is why I do research\u2014we can help people with real problems.\u201d<\/em><\/p>\n<p>Thanks to intense research into the solar industry, costs dropped significantly for consumers and researchers estimate solar will grow another 25 percent worldwide in the next year. Solar has grown consistently since its launch; no one was using solar energy just two decades ago.<\/p>\n<p>Hobbs\u2019 project, which started this July and will run its course for the next three years, will rely on artificial intelligence and data analytics, and is believed to reduce errors by up to 20 percent\u2014by eliminating that waste, it is expected to save <a href=\"https:\/\/www.commercialsearch.com\/news\/electricity-demand-prices-heat-up-after-2017-slowdown\/\">power grid operators<\/a> tens of millions of dollars per year. The system will be tested initially in California and in the central part of the U.S. &nbsp;<\/p>\n<p><em>\u201cThe Department of Energy realizes if they can produce better solar forecasts, we\u2019ll get more cost savings and pollution reductions from the solar we already have,\u201d<\/em> Hobbs concluded. <em>\u201cAnd then people will become even more willing to invest in renewable technologies.\u201d<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Several institutions will work on a new weather prediction system said to reduce errors by up to 20 percent. This could save power grid operators tens of millions of dollars per year.<\/p>\n","protected":false},"author":237,"featured_media":1004244743,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[23891,21742,21786,21787],"tags":[37114,41309,35875],"class_list":["post-1004244698","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-national","category-latest","category-sustainability","category-technology","tag-ibm-corporation","tag-johns-hopkins-university","tag-solar-power"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v23.4 (Yoast SEO v24.6) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Johns Hopkins, IBM Team to Upgrade Solar Forecasts - Commercial Property Executive<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.commercialsearch.com\/news\/jhu-ibm-team-up-on-ai-forecast-technology-to-benefit-solar\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Johns Hopkins, IBM Team to Upgrade Solar Forecasts\" \/>\n<meta property=\"og:description\" content=\"Several institutions will work on a new weather prediction system said to reduce errors by up to 20 percent. This could save power grid operators tens of millions of dollars per year.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.commercialsearch.com\/news\/jhu-ibm-team-up-on-ai-forecast-technology-to-benefit-solar\/\" \/>\n<meta property=\"og:site_name\" content=\"Commercial Property Executive\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/CPExecutive\" \/>\n<meta property=\"article:published_time\" content=\"2018-07-24T15:16:08+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2022-12-08T14:20:56+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.commercialsearch.com\/news\/wp-content\/uploads\/sites\/46\/2018\/07\/american-public-power-association-430868-unsplash.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"800\" \/>\n\t<meta property=\"og:image:height\" content=\"620\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Anca Gagiuc\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@cpexecutive\" \/>\n<meta name=\"twitter:site\" content=\"@cpexecutive\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.commercialsearch.com\/news\/jhu-ibm-team-up-on-ai-forecast-technology-to-benefit-solar\/\",\"url\":\"https:\/\/www.commercialsearch.com\/news\/jhu-ibm-team-up-on-ai-forecast-technology-to-benefit-solar\/\",\"name\":\"Johns Hopkins, IBM Team to Upgrade Solar Forecasts - Commercial Property Executive\",\"isPartOf\":{\"@id\":\"https:\/\/www.commercialsearch.com\/news\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.commercialsearch.com\/news\/jhu-ibm-team-up-on-ai-forecast-technology-to-benefit-solar\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.commercialsearch.com\/news\/jhu-ibm-team-up-on-ai-forecast-technology-to-benefit-solar\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.commercialsearch.com\/news\/wp-content\/uploads\/sites\/46\/2018\/07\/american-public-power-association-430868-unsplash.jpg\",\"datePublished\":\"2018-07-24T15:16:08+00:00\",\"dateModified\":\"2022-12-08T14:20:56+00:00\",\"author\":{\"@id\":\"https:\/\/www.commercialsearch.com\/news\/#\/schema\/person\/340a1a5e8e7dd137bd91ca1dd3a2e9d7\"},\"breadcrumb\":{\"@id\":\"https:\/\/www.commercialsearch.com\/news\/jhu-ibm-team-up-on-ai-forecast-technology-to-benefit-solar\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.commercialsearch.com\/news\/jhu-ibm-team-up-on-ai-forecast-technology-to-benefit-solar\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.commercialsearch.com\/news\/jhu-ibm-team-up-on-ai-forecast-technology-to-benefit-solar\/#primaryimage\",\"url\":\"https:\/\/www.commercialsearch.com\/news\/wp-content\/uploads\/sites\/46\/2018\/07\/american-public-power-association-430868-unsplash.jpg\",\"contentUrl\":\"https:\/\/www.commercialsearch.com\/news\/wp-content\/uploads\/sites\/46\/2018\/07\/american-public-power-association-430868-unsplash.jpg\",\"width\":800,\"height\":620},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.commercialsearch.com\/news\/jhu-ibm-team-up-on-ai-forecast-technology-to-benefit-solar\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.commercialsearch.com\/news\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Johns Hopkins, IBM Team to Upgrade Solar Forecasts\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.commercialsearch.com\/news\/#website\",\"url\":\"https:\/\/www.commercialsearch.com\/news\/\",\"name\":\"Commercial Property Executive\",\"description\":\"\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.commercialsearch.com\/news\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.commercialsearch.com\/news\/#\/schema\/person\/340a1a5e8e7dd137bd91ca1dd3a2e9d7\",\"name\":\"Anca Gagiuc\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.commercialsearch.com\/news\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/d3faafbc9e42cee6d04189129d2ee35dc7818b52bae9848e065f3b86af1df47e?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/d3faafbc9e42cee6d04189129d2ee35dc7818b52bae9848e065f3b86af1df47e?s=96&d=mm&r=g\",\"caption\":\"Anca Gagiuc\"},\"description\":\"Anca Gagiuc brings more than a decade of experience within the real estate industry. 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