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Charitha Buddhika Heendeniya
Charitha Buddhika Heendeniya
Researcher, University of Applied Sciences and Arts of Southern Switzerland (SUPSI)
Verified email at supsi.ch
Title
Cited by
Cited by
Year
The multi-energy system co-planning of nearly zero-energy districts–Status-quo and future research potential
CB Heendeniya, A Sumper, U Eicker
Applied energy 267, 114953, 2020
702020
Agent-based modelling of urban district energy system decarbonisation—a systematic literature review
A Akhatova, L Kranzl, F Schipfer, CB Heendeniya
Energies 15 (2), 554, 2022
182022
Agent-based modeling of a rule-based community energy sharing concept
CB Heendeniya
E3S Web of Conferences 239, 00001, 2021
72021
A stochastic deep reinforcement learning agent for grid-friendly electric vehicle charging management
CB Heendeniya, L Nespoli
Energy Informatics 5 (Suppl 1), 28, 2022
42022
Potential for improving green roof performance through artificial irrigation
H Heendeniya, RMM Ruwanthika, AGBP Jayasekara
2016 Moratuwa Engineering Research Conference (MERCon), 142-148, 2016
32016
Context-aware optimal charging distribution using deep reinforcement learning
M Sharif, CB Heendeniya, AS Muhammad, G Lückemeyer
Proceedings of the 2020 4th International Conference on Big Data and …, 2020
12020
Exploring trade-offs in public bus electrification under stochastic conditions
CB Heendeniya, L Nespoli, M Belliardi, V Medici
Energy Informatics 6 (Suppl 1), 35, 2023
2023
ARaaS: Context-Aware Optimal Charging Distribution Using Deep Reinforcement Learning
M Sharif, CB Heendeniya, G Lückemeyer
iCity. Transformative Research for the Livable, Intelligent, and Sustainable …, 2022
2022
Smart Charging of Electric Vehicles: an Autonomous Driving Perspective
F Sossan, CB Heendeniya, B Mukherjee, V Medici
MINES ParisTech-Université PSL; SUPSI, 2022
2022
CONCEPT FOR SOFT-LINKING A MULTI-ENERGY SYSTEM CO-PLANNING MODEL TO AN URBAN ENERGY SIMULATION PLATFORM
CB Heendeniya, S Köhler, B Schröter
BauSim Conference 2020 8, 616-623, 2020
2020
Submission on a European strategy for data with an emphasis on energy sector datasets
B McMullin, R Morrison, B Müller
2020
Irrigation Demand Estimation for Extensive Green Roofs and Water Balance with Artificial Irrigation
H Heendeniya, RMM Ruwanthika, A Jayasekara
2016
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