Results 21 to 30 of about 137,935 (294)

Exploiting road traffic data for very short term load forecasting in smart grids [PDF]

, 2014
If accurate short term prediction of electricity consumption is available, the Smart Grid infrastructure can rapidly and reliably react to changing conditions.
Aparicio, J, Arzig, K, Develder, Chris, Essl, A, Mediger, M, Rosca, J   +5 more
core   +1 more source

Analysis load forecasting of power system using fuzzy logic and artificial neural network [PDF]

, 2017
Load forecasting is a vital element in the energy management of function and execution purpose throughout the energy power system. Power systems problems are complicated to solve because power systems are huge complex graphically widely distributed and ...
A Mostafa, Salama, F. Al-dolaimy, F. Al-dolaimy, Hashim Abbas, Fatima, Jubair, Mohammed Ahmed, Muhi Hariz, Hussein, Noor Nabeel, Noor Nabeel, Rabei Raad Al, Rabei Raad Al, Wisam Subhi Al-Dayyeni4, Wisam Subhi Al-Dayyeni4   +7 more
core   +1 more source

A Bottom-up Method for Probabilistic Short-Term Load Forecasting Based on Medium Voltage Load Patterns

IEEE Access, 2021
Load forecasting has always been an essential part of power system planning and operation. In recent decades, the competition of the market and the requirements of renewable integration lead more attention to probabilistic load forecasting methods, which
Zhengbang Jiang, Hao Wu, Bingquan Zhu, Wei Gu, Yingwei Zhu, Yonghua Song, Ping Ju   +6 more
doaj   +1 more source

Research on Intelligent Power Load Forecasting Algorithm Based on Empirical Mode Decomposition

Chemical Engineering Transactions, 2017
The load forecasting of power system is related to the dispatching operation and production planning of power system. Accurate load forecasting can improve the safety and stability of the system and reduce the cost of power generation. The load variation
Qinghua Chen
doaj   +1 more source

Fractional ARIMA with an improved cuckoo search optimization for the efficient Short-term power load forecasting

Alexandria Engineering Journal, 2020
Short-term power load forecasting plays a key role in power supply systems. Many methods have been used in short-term power load forecasting during the past years. A new short-term power load forecasting method is proposed in this study. First, the study
Fei Wu, Carlo Cattani, Wanqing Song, Enrico Zio   +3 more
doaj   +1 more source

Grey correlation-oriented Random Forest and Particle Swarm Optimization Algorithm for Power Load Forecasting

Journal of Applied Science and Engineering, 2021
Accurate power load prediction plays an important role in the design of power distribution equipment and distribution network. The traditional forecasting methods have problems with the low accuracy of power load forecasting and slow model training.
Xiao Xiong, Zengyong Xu, Yuxia Yuan
doaj   +1 more source

Electricity forecasting on the individual household level enhanced based on activity patterns. [PDF]

PLoS ONE, 2017
Leveraging smart metering solutions to support energy efficiency on the individual household level poses novel research challenges in monitoring usage and providing accurate load forecasting.
Krzysztof Gajowniczek, Tomasz Ząbkowski
doaj   +1 more source

On the impact of socio-economic factors on power load forecasting [PDF]

2014 IEEE International Conference on Big Data (Big Data), 2014
In this paper, we analyze a public dataset of electricity consumption collected over 3,800 households for one year and half. We show that some socioeconomic factors are critical indicators to forecast households' daily peak (and total) load. By using a random forests model, we show that the daily load can be predicted accurately at a fine temporal ...
Han, Yufei, Sha, Xiaolan, Grover-Silva, Etta, Michiardi, Pietro   +3 more
openaire   +3 more sources

Demand-Side Electricity Load Forecasting Based on Time-Series Decomposition Combined with Kernel Extreme Learning Machine Improved by Sparrow Algorithm

Energies, 2023
With the rapid development of new power systems, power usage stations are becoming more diverse and complex. Fine-grained management of demand-side power load has become increasingly crucial.
Liyuan Sun, Yuang Lin, Nan Pan, Qiang Fu, Liuyong Chen, Junwei Yang   +5 more
doaj   +1 more source

Power System Load Forecasting Method Based on Recurrent Neural Network [PDF]

E3S Web of Conferences, 2020
Power system load forecasting plays an important role in the power dispatching operation. The development of the electricity market and the increasing integration of distributed generators have increased the complexity of power consumption model and put ...
Pang Chuanjun, Bao Tie, He Lei
doaj   +1 more source