| Nome |
# |
|
A Large-Scale SUMO-Based Emulation Platform, file e0d6c926-6cd1-fcf8-e053-d805fe0aa794
|
1.624
|
|
Clustering analysis of the electrical load in European countries, file e0d6c926-990f-fcf8-e053-d805fe0aa794
|
1.252
|
|
A Markov-chain based model for a bike-sharing system, file e0d6c927-6ee1-fcf8-e053-d805fe0aa794
|
1.025
|
|
A Multi-Objective Method for Short-Term Load Forecasting in European Countries, file e0d6c926-cdc9-fcf8-e053-d805fe0aa794
|
699
|
|
Delay-Tolerant Stochastic Algorithms for Parking Space Assignment, file e0d6c926-4086-fcf8-e053-d805fe0aa794
|
435
|
|
A big-data model for multi-modal public transportation with application to macroscopic control and optimisation, file e0d6c926-67a5-fcf8-e053-d805fe0aa794
|
409
|
|
Optimal Distributed Consensus Algorithm for Fair V2G Power Dispatch in a Microgrid, file e0d6c926-4b6b-fcf8-e053-d805fe0aa794
|
339
|
|
Comparison and clustering analysis of the daily electrical load in eight European countries, file e0d6c927-9991-fcf8-e053-d805fe0aa794
|
312
|
|
Prediction of the Italian electricity price for smart grid applications, file e0d6c92c-68f2-fcf8-e053-d805fe0aa794
|
302
|
|
Distributed model predictive control for energy management in a network of microgrids using the dual decomposition method, file e0d6c92d-0267-fcf8-e053-d805fe0aa794
|
245
|
|
An intelligent speed advisory system for electric vehicles, file e0d6c927-6ed9-fcf8-e053-d805fe0aa794
|
244
|
|
A Distributed and Privacy-Aware Speed Advisory System for Optimizing Conventional and Electric Vehicle Networks, file e0d6c926-cdc7-fcf8-e053-d805fe0aa794
|
227
|
|
Cooperative control and smart procurement of naturally generated energy (SPONGE) for PHEVs, file e0d6c927-6dba-fcf8-e053-d805fe0aa794
|
221
|
|
Indirect monitoring and early detection of faults in trains motors, file e0d6c92c-0dbc-fcf8-e053-d805fe0aa794
|
199
|
|
Distributed Load Management Using Additive Increase Multiplicative Decrease Based Techniques, file e0d6c926-43c1-fcf8-e053-d805fe0aa794
|
176
|
|
EnergyTest: A tool for assessing building energy sustainability, file e0d6c926-4a14-fcf8-e053-d805fe0aa794
|
173
|
|
null, file e0d6c929-0116-fcf8-e053-d805fe0aa794
|
170
|
|
Smart procurement of naturally generated energy (SPONGE) for PHEVs, file e0d6c927-3c42-fcf8-e053-d805fe0aa794
|
140
|
|
Smart Procurement of Naturally Generated Energy (SPONGE) for Plug-In Hybrid Electric Buses, file e0d6c928-5bbb-fcf8-e053-d805fe0aa794
|
105
|
|
Day-Ahead Hourly Forecasting of Power Generation from Photovoltaic Plants, file e0d6c92a-076d-fcf8-e053-d805fe0aa794
|
95
|
|
Pedestrian-Aware Engine Management Strategies for Plug-In Hybrid Electric Vehicles, file e0d6c929-f6a6-fcf8-e053-d805fe0aa794
|
85
|
|
A framework for real-time emissions trading in large-scale vehicle fleets, file e0d6c926-442f-fcf8-e053-d805fe0aa794
|
84
|
|
A Machine Learning Model for Long-Term Power Generation Forecasting at Bidding Zone Level, file e0d6c92e-2052-fcf8-e053-d805fe0aa794
|
84
|
|
Decentralized Stochastic Control of Microgrids to Improve System Frequency Stability, file e0d6c929-d9a8-fcf8-e053-d805fe0aa794
|
76
|
|
Analysis of the Impact of Microgrid Penetration on Power System Dynamics, file e0d6c928-5ad7-fcf8-e053-d805fe0aa794
|
70
|
|
Stochastic Frequency Control of Grid-connected Microgrids, file e0d6c92b-5bf7-fcf8-e053-d805fe0aa794
|
63
|
|
Identification of New Patterns in Urban Traffic Flows, file e0d6c92b-00fc-fcf8-e053-d805fe0aa794
|
43
|
|
An Optimized Decentralized Power Sharing Strategy for Wind Farm De-Loading, file e0d6c92f-4da2-fcf8-e053-d805fe0aa794
|
43
|
|
An assessment on the use of stationary vehicles to support cooperative positioning systems, file e0d6c92f-7345-fcf8-e053-d805fe0aa794
|
42
|
|
A network-based structure-preserving dynamical model for the study of cascading failures in power grids, file e0d6c932-2fe3-fcf8-e053-d805fe0aa794
|
36
|
|
Conclusion, file e0d6c92f-1e92-fcf8-e053-d805fe0aa794
|
17
|
|
A review of P2P energy markets and a possible application for remote areas, file e0d6c92e-f567-fcf8-e053-d805fe0aa794
|
9
|
|
Editorial: Smart Mobility, file e0d6c931-e28c-fcf8-e053-d805fe0aa794
|
6
|
|
Introduction, file e0d6c92f-24c6-fcf8-e053-d805fe0aa794
|
5
|
|
Control schemes for district heating substations considering user-defined building's indoor temperature, file e0d6c930-06dd-fcf8-e053-d805fe0aa794
|
5
|
|
A Decentralized Power Sharing Strategy for Wind Farm De-Loading, file e0d6c930-4648-fcf8-e053-d805fe0aa794
|
5
|
|
On the Impact of PEV Charging on Transmission System: Static and Dynamic Limits, file e0d6c92e-f562-fcf8-e053-d805fe0aa794
|
4
|
|
Decentralized Assignment of Electric Vehicles at Charging Stations Based on Personalized Cost Functions and Distributed Ledger Technologies, file e0d6c930-1418-fcf8-e053-d805fe0aa794
|
4
|
|
Controlled islanding algorithm for AC/DC hybrid power systems utilising DC modulation, file e0d6c930-db20-fcf8-e053-d805fe0aa794
|
4
|
|
Smart Cities: A Golden Age for Control Theory?, file e0d6c927-adb9-fcf8-e053-d805fe0aa794
|
3
|
|
Day-Ahead Hourly Forecasting of Power Generation from Photovoltaic Plants, file e0d6c92f-fd88-fcf8-e053-d805fe0aa794
|
3
|
|
Prediction of the Italian electricity price for smart grid applications, file e0d6c930-9cfc-fcf8-e053-d805fe0aa794
|
3
|
|
Fault prediction and early-detection in large pv power plants based on self-organizing maps, file e0d6c931-3a99-fcf8-e053-d805fe0aa794
|
3
|
|
Kemeny-based testing for COVID-19, file e0d6c92f-733a-fcf8-e053-d805fe0aa794
|
2
|
|
Post-lockdown abatement of COVID-19 by fast periodic switching, file e0d6c930-0a0c-fcf8-e053-d805fe0aa794
|
2
|
|
Decentralized Charging of Plug-in Electric Vehicles and Impact on Transmission System Dynamics, file e0d6c930-7767-fcf8-e053-d805fe0aa794
|
2
|
|
A Multi-Objective Method for Short-Term Load Forecasting in European Countries, file e0d6c930-8f22-fcf8-e053-d805fe0aa794
|
2
|
|
Optimized energy and air quality management of shared smart buildings in the covid-19 scenario, file e0d6c931-9610-fcf8-e053-d805fe0aa794
|
2
|
|
Hysteresis-based supervisory control with application to non-pharmaceutical containment of COVID-19, file e0d6c931-a78c-fcf8-e053-d805fe0aa794
|
2
|
|
On the effectiveness of random walks for modeling epidemics on networks, file 387284bf-a3d2-47aa-adb6-3ae23ceab44b
|
1
|
|
Condition monitoring and predictive maintenance methodologies for hydropower plants equipment, file 519c9add-989e-4b09-8d6d-8ebeaa40f8fe
|
1
|
|
Electrical load clustering: The Italian case, file e0d6c926-4a13-fcf8-e053-d805fe0aa794
|
1
|
|
On the Impact of Microgrid Energy Management Systems on Power System Dynamics, file e0d6c929-c1c0-fcf8-e053-d805fe0aa794
|
1
|
|
Enablers for collaborative consumption, file e0d6c92f-4d48-fcf8-e053-d805fe0aa794
|
1
|
|
Analysis of the Impact of Microgrid Penetration on Power System Dynamics, file e0d6c92f-fd84-fcf8-e053-d805fe0aa794
|
1
|
|
Comparison and clustering analysis of the daily electrical load in eight European countries, file e0d6c930-58e9-fcf8-e053-d805fe0aa794
|
1
|
| Totale |
9.108 |