“I have had the opportunity to work with Jeff on a few different projects. In each instance I was extremely impressed with his level of expertise and professionalism. He was able to effectively apply his experience to new domains & applications by providing much needed and relevant insight to the projects we were working on. He is an excellent asset to any team and I look forward to working with him again in the future.”
Jeff Stevenson
Goose Creek, South Carolina, United States
1K followers
500+ connections
About
Highly-skilled IT leader and technology executive with over 20 years of experience…
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October 14th Honor Flight from upstate NY This past Saturday, I traveled with my 91 year old father who is a Korean War Veteran on a truly…
October 14th Honor Flight from upstate NY This past Saturday, I traveled with my 91 year old father who is a Korean War Veteran on a truly…
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I’m starting a new position as Principal Manager Capacity Delivery, Office of the CTO, CO&I at Microsoft!
I’m starting a new position as Principal Manager Capacity Delivery, Office of the CTO, CO&I at Microsoft!
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Publications
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Residential Power Load Forecasting
Conference of Systems Engineering Research 2014/Elsevier
The prepaid electric power metering market is being driven in large part by advancements in and the adoption of Smart Grid technology. Advanced smart meters facilitate the deployment of prepaid systems with smart prepaid meters. A successful program hinges on the ability to accurately predict the amount of energy consumed on a daily basis for each end user. This method of forecasting is called Residential Power Load Forecasting (RPLF). This paper describes the systems engineering (SE) processes…
The prepaid electric power metering market is being driven in large part by advancements in and the adoption of Smart Grid technology. Advanced smart meters facilitate the deployment of prepaid systems with smart prepaid meters. A successful program hinges on the ability to accurately predict the amount of energy consumed on a daily basis for each end user. This method of forecasting is called Residential Power Load Forecasting (RPLF). This paper describes the systems engineering (SE) processes and tools that were used to develop a recommended load prediction model for the project sponsor, SmartGridCIS. The basic concept is that power is treated similar to a prepaid telephone in a "pay as you go" fashion. Modeling techniques explored in the analysis of alternatives (AoA) include Fuzzy Logic, Time Series Moving Average, and Artificial Neural Networks (ANN). SE tools such as prioritization and Pugh matrices were used to choose the best-fit model, which ended up being the ANN. Cognitive systems engineering was used in conjunction with the task analysis. Requirements were developed using the commercial tool IBM Rational DOORS®.
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So after months of fundraising and tapping every family member, friend, work colleague and our local community to get to and smash our €10000 target…
So after months of fundraising and tapping every family member, friend, work colleague and our local community to get to and smash our €10000 target…
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View my verified achievement from CompTIA on Acclaim.
View my verified achievement from CompTIA on Acclaim.
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