Search Results - subject:"Short term prediction"

AI-based neural network models for bus passenger demand forecasting using smart card data

Liyanage, Sohani; Abduljabbar, Rusul; Dia, Hussein; … - In: Journal of Urban Management 11 (2022) 3, pp. 365-380

Accurate short-term forecasting of public transport demand is essential for the operation of on-demand public transport. Knowing where and when future demands for travel are expected allows operators to adjust timetables quickly, which helps improve service quality and reliability and attract...

Persistent link: https://www.econbiz.de/10014285701

AI-based neural network models for bus passenger demand forecasting using smart card data

Liyanage, Sohani; Abduljabbar, Rusul; Dia, Hussein; … - In: Journal of urban management 11 (2022) 3, pp. 365-380

Persistent link: https://www.econbiz.de/10013382151

Using Atmospheric Pressure Tendency to Optimise Battery Charging in Off-Grid Hybrid Wind-Diesel Systems for Telecoms

Phelan, Shane; Meehan, Paula; Daniels, Stephen - In: Energies 6 (2013) 6, pp. 3052-3071

Off grid telecom base stations in developing nations are powered by diesel generators. They are typically oversized and run at a fraction of their rated load for most of their operating lifetime. Running generators at partial load is inefficient and, over time, physically damages the engine. A...

Persistent link: https://www.econbiz.de/10010674371

Wind farm power prediction: a data-mining approach

Kusiak, Andrew; Zheng, Haiyang; Song, Zhe - 2009

weather forecasting data generated at different time scales and horizons. The maximum forecast length of the short-term … prediction model is 12 h, and the maximum forecast length of the long-term prediction model is 84 h. The wind farm power …

Persistent link: https://www.econbiz.de/10009466082