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Short-term load forecasting [PDF]
Proceedings of the IEEE, 1987 This paper discusses the state of the art in short-term load forecasting (STLF), that is, the prediction of the system load over an interval ranging from one hour to one week. The paper reviews the important role of STLF in the on-line scheduling and security functions of an energy management system (EMS).
F D Galiana, G Gross
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An ADMM-LSTM framework for short-term load forecasting
Neural Networks, 2023Accurate short-term load forecasting (STLF) is crucial for maintaining reliable and efficient operations within power systems. With the continuous increase in volume and variety of energy data provided by renewables, electric vehicles and other sources, long short-term memory (LSTM) has emerged as an attractive approach for STLF due to its ...
Shuo Liu +4 more
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Short term load forecasting by ANN
2009 IEEE Workshop on Hybrid Intelligent Models and Applications, 2009Short-term load forecasting (STLF) accuracy is very important for the power system. This study explores the application of neural networks to study the design of short-term load forecasting Systems for electricity market of Iran. In this paper, two seasonal artificial neural networks (ANNs) are designed and compared; so that model 2 (hourly load ...
Ali Azadeh +2 more
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Short-Term Load Forecasting by Machine Learning
2020 International Symposium on Community-centric Systems (CcS), 2020In the global energy transition, Taiwan government has legislated the law to require large-scale power consumers with the obligation to partially use renewable energy. Many companies choose to follow the regulation by purchasing green energy. To purchase the energy effectively, it is necessary to understand its own electricity consumption.
Chung-Chian Hsu +3 more
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A short-term bus load forecasting system
2010 10th International Conference on Hybrid Intelligent Systems, 2010This paper proposes a methodology for a short-term bus load forecasting. This approach calculates the short-term bus load demand forecast using few aggregated models. The idea is to cluster the buses in groups with similar daily load profile and for each cluster one bus load forecasting model is adjusted.
Ricardo Menezes Salgado +2 more
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Short term and medium term power distribution load forecasting by neural networks [PDF]
Energy Conversion and Management, 2005 Load forecasting is an important subject for power distribution systems and has been studied from different points of view. In general, load forecasts should be performed over a broad spectrum of time intervals, which could be classified into short term,
Tankut Yalçınöz, U Eminoglu
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Standardization of short-term load forecasting models
2012 9th International Conference on the European Energy Market, 2012There has been a significant production of load forecasting models over the last 5 years. These models present a wide variety of techniques, most of them using novel artificial intelligence approaches. Load forecasting is a complex matter and it is the result of several processes that, depending on the database, may be of more or less importance ...
López García, Miguel +4 more
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Short Term Load Forecasting Using XGBoost
2019For efficient use of smart grid, exact prediction about the in-future coming load is of great importance to the utility. In this proposed scheme initially we converted daily Australian energy market operator load data to weekly data time series. Furthermore, we used eXtreme Gradient Boosting (XGBoost) for extracting features from the data.
Raza Abid Abbasi +5 more
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A hierarchical neural model in short-term load forecasting
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium, 2000This paper proposes a novel neural model to the problem of short-term load forecasting. The neural model is made up of two self-organizing map nets-one on top of the other. It has been successfully applied to domains in which the context information given by former events plays a primary role.
Otávio Augusto Salgado Carpinteiro +2 more
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A Methodology for Short-Term Load Forecasting
IEEE Latin America Transactions, 2017Demand forecasting is important for electrical analysis development by utilities. It requires low error levels in order to reach reliability in electrical analysis. However, the demand for energy has dissimilar profiles variations depending on the type of day, weather conditions and geographical area.
j. Jiménez, K. Donado, C. G. Quintero
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