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CLM-former for enhancing multi-horizon time series forecasting and load prediction in smart microgrids using a robust transformer-based model. [PDF]
Sci RepRahmatinia SM +2 more
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Climate Change Reshapes Thermal Suitability for Dairy Cattle in Jiangsu Province (1961-2020). [PDF]
Animals (Basel)Yang G +7 more
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Forecasting Energy Demand in Quicklime Manufacturing: A Data-Driven Approach. [PDF]
Sensors (Basel)Leon-Medina JX +8 more
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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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Short-term load forecasting based on load profiling
2013 IEEE Power & Energy Society General Meeting, 2013Load forecasting has gradually becoming a major field of research in electricity industry. Therefore, Load forecasting is extremely important for the electric sector under deregulated environment as it provides a useful support to the power system management. Accurate power load forecasting models are required to the operation and planning of a utility
Ramos, Sérgio +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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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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