Commercial Industrial And Household Electrical Load Modelling And Short Term Load Forecasting
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Commercial Industrial And Household Electrical Load Modelling And Short Term Load Forecasting
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Author : Hla-U-May Marma
language : en
Publisher:
Release Date : 2020
Commercial Industrial And Household Electrical Load Modelling And Short Term Load Forecasting written by Hla-U-May Marma and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
In this thesis, a transfer function-based load model is determined for commercial and industrial load. This model is derived from the composite load model which consist of an induction motor and static load. This developed model is compared to composite load model by considering two cases: 1) a small motor composition load or commercial load and 2) higher motor composition load or industrial load. The research is conducted through MATLAB/Simulink simulation. In order to compare the dynamic response of developed model, a comparative study has been done between the two models. In addition, the influence of voltage and frequency dependency terms on the overall model accuracy for developed model has been evaluated through several case studies considering both voltage and frequency dependency disturbances. A short-term load forecast model is developed for an electrically heated house. This research work is based on experimental data collected by installing current sensors in a house in St. Johns, Newfoundland, Canada. The data was collected for three years and only one-year data is used for this model. The model is based on Recurrent Neural Network (RNN) with wavelet transform. The proposed model is verified by comparing other developed models in the literature through MATLAB deep learning toolbox and wavelet toolbox. The proposed model can more accurately forecast the load.
Short Term Load Forecasting 2019
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Author : Antonio Gabaldón
language : en
Publisher: MDPI
Release Date : 2021-02-26
Short Term Load Forecasting 2019 written by Antonio Gabaldón and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-26 with Technology & Engineering categories.
Short-term load forecasting (STLF) plays a key role in the formulation of economic, reliable, and secure operating strategies (planning, scheduling, maintenance, and control processes, among others) for a power system and will be significant in the future. However, there is still much to do in these research areas. The deployment of enabling technologies (e.g., smart meters) has made high-granularity data available for many customer segments and to approach many issues, for instance, to make forecasting tasks feasible at several demand aggregation levels. The first challenge is the improvement of STLF models and their performance at new aggregation levels. Moreover, the mix of renewables in the power system, and the necessity to include more flexibility through demand response initiatives have introduced greater uncertainties, which means new challenges for STLF in a more dynamic power system in the 2030–50 horizon. Many techniques have been proposed and applied for STLF, including traditional statistical models and AI techniques. Besides, distribution planning needs, as well as grid modernization, have initiated the development of hierarchical load forecasting. Analogously, the need to face new sources of uncertainty in the power system is giving more importance to probabilistic load forecasting. This Special Issue deals with both fundamental research and practical application research on STLF methodologies to face the challenges of a more distributed and customer-centered power system.
Short Term Electrical Load Forecasting For An Institutional Industrial Power System Using An Artificial Neural Network
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Author : Eric Lynn Taylor
language : en
Publisher:
Release Date : 2013
Short Term Electrical Load Forecasting For An Institutional Industrial Power System Using An Artificial Neural Network written by Eric Lynn Taylor and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
For optimal power system operation, electrical generation must follow electrical load demand. The generation, transmission, and distribution utilities require some means to forecast the electrical load so they can utilize their electrical infrastructure efficiently, securely, and economically. The short-term load forecast (STLF) represents the electric load forecast for a time interval of a few hours to a few days. This thesis will define STLF as a 24-hour-ahead load forecast whose results will provide an hourly electric load forecast in kilowatts (kW) for the future 24 hours (a 24-hour load profile). This thesis will use the method of Artificial Neural Networks (ANN) to create a STLF algorithm for the U.S. Department of Energy’s Oak Ridge National Laboratory (ORNL). ORNL’s power system can be described as an institutional/industrial-type electrical load. The ANN is a mathematical tool that mimics the thought processes of the human brain. The ANN can be created and trained to receive historical load and future weather forecasts as input and produce a load forecast as its output. Most ANNs in the literature are used to forecast the next day 24-hour load profile for a transmission-level system with resulting load forecast errors ranging from approximately 1 % to 3 %. This research will show that an ANN can be used to forecast the smaller, more chaotic load profile of an institutional/industrial-type power system and results in a similar forecast error range. In addition, the operating bounds of the ORNL electric load will be analyzed along with the weather profiles for the site. Correlations between load and weather and load and calendar descriptors, such as day of week and month, will be used as predictor inputs to the ANN to optimize is size and accuracy.
Electrical Load Forecasting
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Author : S.A. Soliman
language : en
Publisher: Elsevier
Release Date : 2010-05-26
Electrical Load Forecasting written by S.A. Soliman and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-05-26 with Business & Economics categories.
Succinct and understandable, this book is a step-by-step guide to the mathematics and construction of electrical load forecasting models. Written by one of the world’s foremost experts on the subject, Electrical Load Forecasting provides a brief discussion of algorithms, their advantages and disadvantages and when they are best utilized. The book begins with a good description of the basic theory and models needed to truly understand how the models are prepared so that they are not just blindly plugging and chugging numbers. This is followed by a clear and rigorous exposition of the statistical techniques and algorithms such as regression, neural networks, fuzzy logic, and expert systems. The book is also supported by an online computer program that allows readers to construct, validate, and run short and long term models. Step-by-step guide to model construction Construct, verify, and run short and long term models Accurately evaluate load shape and pricing Creat regional specific electrical load models
A Textbook Of Electric Power Distribution Automation
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Author : Dr. M.K. Khedkar
language : en
Publisher: Laxmi Publications, Ltd.
Release Date : 2010
A Textbook Of Electric Power Distribution Automation written by Dr. M.K. Khedkar and has been published by Laxmi Publications, Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.
Short Term Load Forecasting For Industrial And Residential Consumers
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Author : Renata Blatnik
language : en
Publisher:
Release Date : 2016
Short Term Load Forecasting For Industrial And Residential Consumers written by Renata Blatnik and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
Forecasting In Mathematics
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Author : Abdo Abou Jaoude
language : en
Publisher: BoD – Books on Demand
Release Date : 2021-01-27
Forecasting In Mathematics written by Abdo Abou Jaoude and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-27 with Computers categories.
Mathematical probability and statistics are an attractive, thriving, and respectable part of mathematics. Some mathematicians and philosophers of science say they are the gateway to mathematics’ deepest mysteries. Moreover, mathematical statistics denotes an accumulation of mathematical discussions connected with efforts to most efficiently collect and use numerical data subject to random or deterministic variations. Currently, the concept of probability and mathematical statistics has become one of the fundamental notions of modern science and the philosophy of nature. This book is an illustration of the use of mathematics to solve specific problems in engineering, statistics, and science in general.
Energy Abstracts For Policy Analysis
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Author :
language : en
Publisher:
Release Date : 1989
Energy Abstracts For Policy Analysis written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Power resources categories.
Proceedings Of The International Conference On Consumer Technology And Engineering Innovation Icontention 2023
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Author : Utamy Sukmayu Saputri
language : en
Publisher: Springer Nature
Release Date : 2024
Proceedings Of The International Conference On Consumer Technology And Engineering Innovation Icontention 2023 written by Utamy Sukmayu Saputri and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Electronic books categories.
Electric Load Forecasting Using An Artificial Neural Networks
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Author : Natalia Gotman
language : en
Publisher: LAP Lambert Academic Publishing
Release Date : 2014-03
Electric Load Forecasting Using An Artificial Neural Networks written by Natalia Gotman and has been published by LAP Lambert Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03 with categories.
Electric load forecasting is an important research field in electric power industry. It plays a crucial role in solving a wide range of tasks of short-term planning and operating control of electric power system operating modes. Load forecasting is carried out in different time spans. Load forecasting within a current day - operating forecasting; one-day-week-month-ahead load forecasting - short-term load forecasting; one-month-quarter-year-ahead load forecasting - long-term load forecasting. So far a great number of both conventional and non-conventional electric load forecasting methods and models have been developed. The work presents research results of electric load forecasting for electrical power systems using artificial neural networks and fuzzy logic as one of the most advanced and perspective directions of solving this task. A theoretical approach to the issues discussed is combined with the data of experimental studies implemented with application of load curves of regional electrical power systems. The book is addressed to specialists and researchers concerned with operational control modes of electric power systems.
