Results 1 to 10 of about 3,806,141 (312)
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 +2 more sources
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 +2 more sources
IEEE Access, 2023 Power system load forecasting model plays an important role in all aspects of power system planning, operation and control. Therefore, accurate power load forecasting provides an important guarantee for the stable operation of the power grid system. This
Hongsheng Xu +3 more
doaj +2 more sources
Analysis of Influencing Factors of Heat Load of Heating Power Station [PDF]
E3S Web of Conferences, 2021 Heating system load forecasting is very important in heating system planning and formulating heating plans. More accurate load forecasting can obtain greater economic and social benefits for the heating power station. The selection of influencing factors
Lu Yu, Li Rui
doaj +1 more source
Cost-oriented load forecasting [PDF]
Electric Power Systems Research, 2022 Accurate load prediction is an effective way to reduce power system operation costs. Traditionally, the mean square error (MSE) is a common-used loss function to guide the training of an accurate load forecasting model. However, the MSE loss function is unable to precisely reflect the real costs associated with forecasting errors because the cost ...
Zhang, Jialun, Wang, Yi, Hug, Gabriela
openaire +2 more sources
Multi Feature Data Fusion-Based Load Forecasting of Electric Vehicle Charging Stations Using a Deep Learning Model [PDF]
Energies, 2023 We propose a forecasting technique based on multi-feature data fusion to enhance the accuracy of an electric vehicle (EV) charging station load forecasting deep-learning model.
Prince Aduama, Zhibo Zhang, A. Sumaiti
semanticscholar +1 more source
IEEE Access, 2022 In the past decade, there has been unprecedented growth in distributed generation (DG) to cater to more load demand in the power grid. However, as the volume of these resources in the distribution network (DN) continues to increase, new challenges in ...
Suzana Pil Ramli +6 more
doaj +1 more source
Frontiers in Energy Research, 2021 Medium-and long-term load forecasting in the distribution network has important guiding significance for overload warning of distribution transformer, transformation of distribution network and other scenarios.
Daolu Zhang +11 more
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
Electrical Load Forecasting Using LSTM, GRU, and RNN Algorithms
Energies, 2023 Forecasting the electrical load is essential in power system design and growth. It is critical from both a technical and a financial standpoint as it improves the power system performance, reliability, safety, and stability as well as lowers operating ...
Mobarak Abumohsen, A. Y. Owda, M. Owda
semanticscholar +1 more source