https://www.govtrack.us/congress/bills/116/s1632
https://www.govtrack.us/congress/bills/116/s1632
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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.
Modeling public holidays in load forecasting: a German case study
Abstract: We address the issue of public or bank holidays in electricity load modeling and forecasting. Special characteristics of public holidays such as their classification into fixed-date and weekday holidays are discussed in detail. We present state-of-the-art techniques to deal with public holidays such as removing them from the data set, treating them as Sunday dummy or introducing separate holiday dummies. We analyze pros and cons of these approaches and provide a large load forecasting study for Germany that compares the techniques using standard performance and significance measures. Finally, we give general recommendations for the treatment of public holidays in energy forecasting to suggest how the drawbacks particular to most of the state-of-the-art methods can be mitigated. This is especially useful, as the incorporation of holiday effects can improve the forecasting accuracy during public holidays periods by more than 80%, but even for non-holidays periods, the forecasting error can be reduced by approximately 10%.
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Measurement and Prediction of Regional Traffic Volume in Holidays
Zhenzhu Wang – Yishuai Chen – Yuchun Guo – Yongxiang Zhao – Weikang Tang
Beijing Jiaotong University
Chao Zeng – Jingwei Chen
Join-Cheer Software Co., Ltd., Beijing, China
Abstract: Accurate regional traffic volume projection is important for department of transportation to plan investments, and also helps forecast oil or electric energy demand and CO 2 emissions. Based on a 4.5 years’ daily traffic volume measurement data of the highway network of Guizhou province of China, this paper conducts a comprehensive measurement analysis of the network’s traffic volume growth pattern and proposes a new time series model, which improves the projection accuracy of non-holiday and holiday traffic considerably. We first find that the holiday traffic volume is considerably higher than that on the neighboring non-holidays (e.g., 1.88 times), which could bring tremendous pressure on the road network. We then find that the traffic of network increases exponentially, in particular, the increase rates in holidays are higher than those in non-holidays. Thus, we propose an Exponential-Growth (EG) holiday component model, which models the holiday component with exponential growth. Experimental results show that our model considerably improves the holiday traffic’s prediction accuracy compared with the existing models. For instance, for the first day of National Day holiday, which is usually the heaviest day in a whole year (from Jan. 1 to Dec. 31), the model decreases the prediction relative error from 18.7% to 7%.
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STANDARDS ACTION WEEKLY EDITION
NSF International develops a standard for one of the centerpiece safety technologies for a large revenue driver in research universities. The landing page for its biosafety cabinetry product, installation, operation and maintenance standard is linked below:
From the project prospectus:
This Standard applies to Class II (laminar flow) biosafety cabinetry designed to minimize hazards inherent in work with agents assigned to biosafety levels 1, 2, 3, or 4. It also defines the tests that shall be passed by such cabinetry to meet this standard. NSF 49 includes basic requirements for the design, construction, and performance of biosafety cabinets that are intended to provide personnel, product, and environmental protection; reliable operation; durability and structural stability; cleanability; limitations on noise level; illumination; vibration; and motor/blower performance.
This equipment class is the centerpiece of many research laboratories and is a multidimensional risk aggregation so NSF 49 needs to move swiftly and is listed as an ANSI Continuous Maintenance product. You can track the action at the link below:
Joint Committee on Biosafety Cabinetry
NSF typically uploads its live public consultation notices on ANSI Standards Action; one of the most recent on Page 11 of link below:
Consultation closes January 4th
We maintain all NSF International titles on the agenda of our Laboratory and Risk teleconferences and, because NSF runs its standards suite continuously, most of its titles are on our Nota Bene teleconferences. See our CALENDAR for the next online meeting; open to everyone
Issue: [13-118]
Category: Risk Management, Occupational Health and Safety
Colleagues: Mike Anthony, Richard Robben, Alan Rose, Mark Schaufele
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This content is accessible to paid subscribers. To view it please enter your password below or send [email protected] a request for subscription details.
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
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