American Electric Power Company Research Articles

American Electric Power Company Inc.

American Electric Power Company Inc.

A Building Energy Consumption Prediction Method Based on Integration of a Deep Neural Network and Transfer Reinforcement Learning

With respect to the problem of the low accuracy of traditional building energy prediction methods, this paper proposes a novel prediction method for building energy consumption, which is based on the seamless integration of the deep neural network and transfer reinforcement learning (DNN-TRL). The method introduces a stack denoising autoencoder to extract the deep features of the building energy consumption, and shares the hidden layer structure to transfer the common information between different building energy consumption problems. The output of the DNN model is used as the input of the Sarsa algorithm to improve the prediction performance of the target building energy consumption. To verify the performance of the DNN-TRL algorithm, based on the data recorded by American Power Balti Gas and Electric Power Company, and compared with Sarsa, ADE-BPNN, and BP-Adaboost algorithms, the experimental results show that the DNN-TRL algorithm can effectively improve the prediction accuracy of the building energy consumption.

A Changing Climate of Litigation

Frustrated by perceived federal reticence to act on the growing scientific evidence of climate change, state governments and environmentalists are increasingly turning their attention to the courts. Broad consensus has developed about the reality and seriousness of global warming, but neither the Bush administration nor Congress has yet responded with meaningful action. The result is a situation that is ripe for litigation. Plaintiffs have emerged, suing corporations on the grounds that their greenhouse gas emissions are causing undue harm and suing governments for failing to regulate the corporations. In addition, industry has responded with countersuits of its own.

Use of Neutral Red to Assess Survival of Juvenile Freshwater Mussels (Bivalvia: Unionidae) in Bioassays

Use of Neutral Red to Assess Survival of Juvenile Freshwater Mussels (Bivalvia: Unionidae) in Bioassays

EE at work: Powerful short term job benefits: “Working the service end of a power company was something I wanted to do. A summer working at the American Electric Power Company helped me realize this”

Michael Oatts enjoys day to day, short term activity more than long term planning activities. While working in the summer for his fellowship, he did long term planning for the American Electric Power Company, and said he found it much more rewarding to work on daily projects that are not just hypothetical ideas that may or may not be of use 10 years down the road. He comments “sometimes you would put a lot of work and energy into long term project and get really excited about it, only to find out that minds have changed.”

Report on pile testing for AEP transmission lines - part II

This paper and the companion paper, Part I, cover the American Electric Power Company (AEP) pile testing program of 1966 and 1967 in southern Michigan and northern Indiana. These two papers present the results of uplift, compression and lateral load tests on numerous types and sizes of piles. Load versus movement and ultimate capacities of the various types of piles are compared with each other and with calculated expected values. Part II includes the Test Results and Discussion and the Summary and Conclusions. See Part I for the Introduction, Description of Test Sites, Number and Types of Piles and Installation Records, and Description of Test Equipment.

Report on pile testing for AEP transmission lines - part I

This paper and the companion paper, Part II, cover the American Electric Power Company (AEP) pile testing program of 1966 and 1967 in southern Michigan and northern Indiana. These two papers present the results of uplift, compression and lateral load tests on numerous types and sizes of piles. Load versus movement and ultimate capacities of the various types of piles are compared with each other and with calculated expected values. Part I includes the Introduction, Description of Test Sites, Number and Types of Piles and Installation Records, and Description of Test Equipment. See Part II for Test Results and Discussion and for Summary and Conclusions.

Tower Designs for AEP 765-KV Project

The highlights of the 765-kv tower designs used by the American Electric Power Company are summarized. The weather loading conditions and line design criteria used in developing structure configuration and designs are described. Tower designers and engineers responsible for developing design specifications are alerted to the pitfalls of designing towers without considering all practical combinations of loads (within a loading combination), i.e., combination of some minimum with maximum loads and unequal leg extension combinations in rough terrain. The AEP Computer Program for analyzing towers as three-dimensional elastic structures is highlighted. Comparisons are made to hand (statics) methods used to analyze towers. Alternate types of foundations employed are described, insofar as anchor movement affects structure capabilities.

500-kV AC Substation Design Criteria Summary of Industry Practices

In order to determine major trends in 500-kV substation design practices, a survey was made of ten major electric utility systems in the United States and Canada. These findings are presented in tabular form for easy comparison of design features. Major variations in data are identified by an asterisk and are explained in the accompanying discussion following the tabulation. These data should be invaluable to those companies having 500-kV systems under study and will serve as a permanent record of the state-of-the-art. The Working Group has prepared similar data on Hydro Quebec's 735-kV system and American Electric Power Company's 765-kV system, which will be published in a separate report.

Distribution Circuit Protection for the American Electric Power Company System

Distribution Circuit Protection for the American Electric Power Company System

Statistical approaches to selecting domestic meters for test

The american electric power company (AEP) system is an integrated and interconnected electric power network, including six principal operating companies serving parts of seven states: Michigan, Indiana, Ohio, West Virginia, Virginia, Kentucky, and Tennessee. The majority of its revenue watt-hour (whr) meters are selected for test on the basis of geographic areas, each of which include one-eighth of the meters in an operating company. Each year all meters in the geographic area are tested, with some minor exceptions, so that over a period of 8 years all meters on the system are tested once.