Results 51 to 60 of about 44,587 (236)
Advanced control scheme and dynamic phasor modelling of grid‐tied droop‐controlled inverters
IET Renewable Power Generation, EarlyView., 2022 Abstract This paper develops an advanced scheme, modelling, and analysis of power flow control intended for grid‐connected droop‐controlled VSIs within a single‐phase microgrid (MG). The proposed control scheme includes a power calculation method based on an enhanced second‐order generalized integrator frequency‐locked loop (ESOGI‐FLL). Contrary to the
Ahmed Bendib +4 more
wiley +1 more source
Net Effects of Gasoline Price Changes on Transit Ridership in U.S. Urban Areas, MTI Report 12-19 [PDF]
, 2015 Using panel data of transit ridership and gasoline prices for ten selected U.S. urbanized areas over the time period of 2002 to 2011, this study analyzes the effect of gasoline prices on ridership of the four main transit modes—bus, light rail, heavy ...
Ali, Rubaba, Iseki, Hiroyuki
core +1 more source
The Value Chain of Sustainable Dual Carbon Sodium Ion Capacitors
Batteries &Supercaps, EarlyView.Sodium‐ion capacitors (SICs) bridge the energy‐power gap between batteries and supercapacitors, offering sustainable and scalable energy storage solutions. This review provides a 360‐degree perspective on SIC technology, covering material choices, presodiation strategies, manufacturing challenges, applications and life cycle assessment to ensure ...
Roman Mysyk +23 more
wiley +1 more source
A Deep Learning‐to‐learning Based Control system for renewable microgrids
IET Renewable Power Generation, EarlyView., 2023 This paper focuses on wind power forecasting and optimal management and control of renewable microgrids (MGs) in a realistic environment. For robust and efficient scheduling of MG, an optimal framework based on TLBO and deep learning is proposed. Abstract In terms of microgrids (MGs) operation, optimal control and management are vital issues that must ...
Hossein Mohammadi +5 more
wiley +1 more source
, 2002 Effective public transit is central to development. For the vast majority of developing city residents, public transit is the only practical means to access employment, education, and public services, especially when such services are beyond the viable ...
Wright, Lloyd
core
Renewable Energy Source Integration With Intelligent Neuro‐Fuzzy Control for Microgrid System
Battery Energy, EarlyView.A Landsman converter with high amplification is employed to optimize voltage generated by solar panels due to their relatively low output. An unstable and often fluctuating converter output is stabilized by the ANFIS controller. The error signal is acquired through reference voltage comparison analysis V DC ref ${{V}}_{{{DC}}_{{ref}}}$ to the actual DC
Chaladi S. Ganga Bhavani +3 more
wiley +1 more source
Data‐driven energy sharing for multi‐microgrids with building prosumers: A hybrid learning approach
IET Renewable Power Generation, EarlyView., 2023 A hybrid learning approach is proposed in this study. XGBoost‐based demand response model of prosumers is first trained by supervised learning and then embedded into the MADRL environment. And an XGBoost‐embedded MADDPG algorithm is adopted to obtain the optimal scheduling strategy of MMGs with building prosumers through off‐line centralized training ...
Haonan Sun +3 more
wiley +1 more source
Carbon Free Boston: Transportation Technical Report [PDF]
, 2019 Part of a series of reports that includes: Carbon Free Boston: Summary Report; Carbon Free Boston: Social Equity Report; Carbon Free Boston: Technical Summary; Carbon Free Boston: Buildings Technical Report; Carbon Free Boston: Waste Technical ...
Boone, Scott +6 more
core
Synergy between public space politics and mobility strategies [PDF]
, 2016 ¿Hasta qué punto y en qué circunstancias movilidad, como aspecto funcional e inevitable del entorno humano, se puede convertir en un elemento afirmativo de espacio público dándole un nuevo significado y un valor añadido?
Stipcic, Milos
core +1 more source
Battery Energy, EarlyView.This study presents an AI‐driven framework for power system flexibility, integrating renewable energy and dynamic load management. Using a transformer‐based model and IEEE 14‐bus simulations, it achieves a 44% reduction in power losses, enhanced voltage stability, and superior forecasting accuracy, demonstrating AI's potential for resilient and ...
Saad Hayat +4 more
wiley +1 more source