This content is accessible to paid subscribers. To view it please enter your password below or send mike@standardsmichigan.com a request for subscription details.
This content is accessible to paid subscribers. To view it please enter your password below or send mike@standardsmichigan.com a request for subscription details.
This content is accessible to paid subscribers. To view it please enter your password below or send mike@standardsmichigan.com a request for subscription details.
This content is accessible to paid subscribers. To view it please enter your password below or send mike@standardsmichigan.com a request for subscription details.
https://www.astm.org/search/fullsite-search.html?query=boiler&resStart=0&resLength=10&maincomms=e44&
This content is accessible to paid subscribers. To view it please enter your password below or send mike@standardsmichigan.com a request for subscription details.
Shot this nebula in our back yard with a borg 107 telescope 🔭 pic.twitter.com/wQL6UXr3vG
— Cathrin Machin (@Cathrinmachin) May 26, 2023
https://www.govtrack.us/congress/bills/116/s1632
This content is accessible to paid subscribers. To view it please enter your password below or send mike@standardsmichigan.com a request for subscription details.
Hybrid Support Vector Regression in Electric Load During National Holiday Season
Abstract: This paper studies non-parametric time-series approach to electric load in national holiday seasons based on historical hourly data in state electric company of Indonesia consisting of historical data of the Northern Sumatera also South and Central Sumatra electricity load. Given a baseline for forecasting performance, we apply our hybrid models and computation platform with combining parameter of the kernel. To facilitate comparison to results of our analysis, we highlighted the results around MAPE-based and R 2 -based techniques. In order to get more accurate results, we need to improve, investigate, also develop the appropriate statistical tools. Electric load forecasting is a fundamental aspect of infrastructure development decisions and can reduce the energy usage of the nation.
New update alert! The 2022 update to the Trademark Assignment Dataset is now available online. Find 1.29 million trademark assignments, involving 2.28 million unique trademark properties issued by the USPTO between March 1952 and January 2023: https://t.co/njrDAbSpwB pic.twitter.com/GkAXrHoQ9T
— USPTO (@uspto) July 13, 2023
Standards Michigan Group, LLC
2723 South State Street | Suite 150
Ann Arbor, MI 48104 USA
888-746-3670