- Sponsor:
- sigenergy
No abstract available.
In-situ sensor network for microclimate and urban energy modeling and validation
Urban development results in substantial changes to the climate variables (e.g., temperature, wind movement), statistically differing from those of the surrounding area, which is referred as microclimate. In particular, urban heat island is a prominent ...
A framework for occupancy-aided energy disaggregation
Energy disaggregation helps to identify major energy guzzlers in the house without introducing extra metering cost. It motivates users to take proper actions for energy saving and facilitates demand response programs. To increase the accuracy of energy ...
Decentralized optimization of energy exchanges in an electricity microgrid
Increasing costs of energy, proliferation of electrical appliances, and climate change are major drivers that are reshaping the power generation, distribution, and usage landscape.
Inferring non-outage events using meter voltage data
Power distribution utilities incur significant expenditures due to field operations. While restoration efforts following outages lead to truck rolls in order to identify and rectify faults, there exist several non-outage events that also result in ...
Optimizing energy costs of commercial buildings in developing countries
Energy cost from hvac is a significant fraction of the overall operational cost of a commercial building. Moreover, in developing countries such as India with inadequate grid connectivity and frequent outages, diesel generators are a common source of ...
Towards constraint-based aggregation of energy flexibilities
The aggregation of energy flexibilities enables individual producers and/or consumers with small loads to directly participate in the emerging energy markets. On the other hand, aggregation of such flexibilities might also create problems to the ...
Combining data with physics to monitor solar panels
In countries such as India with low grid prices, energy firms are offering competitive PPA tariffs for solar farms. Given lower margins in operating these farms, there is great sensitivity to panels under-performing. To detect under-performance, ...
SunShade: software-defined solar systems
Since the electric grid was not designed to support large-scale solar generation, current policies place hard caps on the number of solar systems that connect to the grid. Unfortunately, users are starting to hit these caps, which is restricting solar's ...
Observability: replacing sensors with inference engines
Sensor driven building management involves tasks like reducing and optimizing power consumption, monitoring the health of the building appliances, maintaining quality of the atmosphere in the building and tracking occupants in various parts of the ...
Harmoney: saving energy costs in buildings through harmonic current mitigation
- Leena Markose,
- Venkatesh Sarangan,
- Arunchandar Vasan,
- Ramasubramanian Suriyanarayanan,
- Anand Sivasubramaniam
Better control of electrical loads through power electronic devices helps save energy. However, extensive usage of such electronics degrades the quality of power by introducing harmonics, which are sinusoidal currents and voltages with frequencies that ...
Multiple time-scale model predictive control for thermal comfort in buildings
Intelligent control of heating, ventilation, and air conditioning (HVAC) systems in commercial buildings have been extensively studied in the literature. Although prior work has shown the benefits of using Model Predictive Control (MPC), existing work ...
Collect, compare, and score: a generic data-driven anomaly detection method for buildings
Buildings are one of the largest energy consumers around the world. Several studies show that degraded and misćonfigured devices waste upto 30% of energy in commercial buildings. In this paper, we propose Collect, Compare, and Score (CCS), a generic ...
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
e-Energy '20 | 173 | 77 | 45% |
e-Energy '15 | 85 | 20 | 24% |
e-Energy '14 | 112 | 23 | 21% |
e-Energy '13 | 76 | 40 | 53% |
Overall | 446 | 160 | 36% |