Results 1 to 10 of about 127,521 (300)
Assessing and Comparing Short Term Load Forecasting Performance
Energies, 2020 When identifying and comparing forecasting models, there may be a risk that poorly selected criteria could lead to wrong conclusions. Thus, it is important to know how sensitive the results are to the selection of criteria.
Pekka Koponen +4 more
doaj +4 more sources
Short-Term Load Forecasting [PDF]
Proceedings of the IEEE, 1988 Some of the decision and control functions discussed in this book require knowledge of future load behavior. In unit commitment, for example, hourly system loads for the next 24–72 hours are required. Some unit commitment programs even require knowledge of future loads for the next week, i.e., 168 hours.
G. Gross, F.D. Galiana
+5 more sources
Hybrid Techniques for Short Term Load Forecasting
Majlesi Journal of Electrical Engineering, 2023 Short Term Load Forecasting (STLF) is the projection of system load demands for the next day or week. Because of its openness in modeling, simplicity of implementation, and improved performance, the ANN-based STLF model has gained traction.
Saroj Panda, Papia Ray, Surender Salkuti
doaj +1 more source
A Short-Term Load Forecasting Method Using Integrated CNN and LSTM Network
IEEE Access, 2021 In this study, a new technique is proposed to forecast short-term electrical load. Load forecasting is an integral part of power system planning and operation.
Shafiul Hasan Rafi +3 more
doaj +1 more source
Application of adaptive ensemble neural network method for short-term load forecasting electrical engineering complex of regional electric grid [PDF]
Омский научный вестник, 2021 The article is devoted to the problem of improving the accuracy of short-term load forecasting of electrical engineering complex of regional electric grid with the use deep machine learning tools.
N. A. Serebryakov
doaj +1 more source
Short-term load forecasting method for power system based on key feature optimization
Zhejiang dianli, 2023 Accurate forecasting of short-term power load is an important condition for the safe and economic operation of the power system. To improve the accuracy of short-term load forecasting for the power system， a short-term load forecasting method based on ...
ZHU Geng +4 more
doaj +1 more source
Energies, 2023 With the rapid development of smart grids and distributed energy sources, the home energy management system (HEMS) is becoming a hot topic of research as a hub for connecting customers and utilities for energy visualization.
Ping Ma +4 more
doaj +1 more source
Short Term Probabilistic Load Forecasting With Integrated Methods [PDF]
E3S Web of Conferences, 2019 In smart grid era, electric load is becoming more stochastic and less predictable in short horizons with more intermittent energy and competitive electricity market transactions.
Zhang Manying +5 more
doaj +1 more source
Frontiers in Energy Research, 2022 Currently, traditional electricity consumers are now shifting to a new role of prosumers since more integration of renewable energy to demand side. Accurate short-term load demand forecasting is significant to safe, stable, and reliable operation of a ...
Jiying Wen +3 more
doaj +1 more source
Short Term Load Forecasting [PDF]
, 2019 AbstractElectrification of transport and heating, and the integration of low carbon technologies (LCT) is driving the need to know when and how much electricity is being consumed and generated by consumers. It is also important to know what external factors influence individual electricity demand.
Maria Jacob +2 more
openaire +1 more source