International Business Machines Corporation

Universiti Brunei Darussalam

Univsersiti Brunei Darussalam

Saiful A Husain

Shivkumar Kalyanaraman

Vijay Arya

Devasenapathi Periagraharam Seetharamakrishnan

Tanuja Ganu

Ashok Kumar

Chandratilak De Silva Liyanage

Dwi Rahayu

Jagabondhu Hazra

Yogish Sabharwal

Anthony Paul Praino

Lloyd Alan Treinish

Vaibhav Saxena

Thomas George

Balakrishnan Narayanaswamy

Rashmi Mittal

Swarna Latha Mylavarapu

Liyanage Chandratilak De Silva

James Peter Cipriani

Ashkok Pon Kumar

One embodiment provides a method including: prior to an initial period of operation of an appliance, storing in memory a first set of characteristics of the appliance; during an initial period of operation of the appliance, learning a second set of characteristics of the appliance; during subsequent operation of the appliance: detecting an adverse operating condition of the appliance; and based on the first set of characteristics, the second set of characteristics and the detected adverse operating condition, determining a corrective action to be taken with regard to the appliance, the corrective action comprising at least one of: switching off the appliance and warning a user of the detected adverse operating condition. Other aspects are described and claimed.

Managing electricity usage for an appliance

Methods and arrangements for automating weather model configurations. Characteristics of a target geographical area are received, as are a plurality of existing weather model configurations which are implemented for undertaking weather modeling in other geographical areas. A subset of the existing weather model configurations is selected, the subset comprising configurations corresponding to geographical areas having characteristics similar to the characteristics of the target area. A weather model is run with respect to each configuration in the subset of existing weather model configurations. Based on the running of a weather model with respect to each configuration, an output set of weather model configurations is selected for undertaking weather modeling in the target area.

Automating weather model configurations

Methods and arrangements for calculating a power budget. Data are received, the data including data relating to a current state of an electrical grid at a power-drawing location which draws at least one variable electrical load, the at least one variable electrical load being subject to variable pricing. At least one prediction is determined, the at least one prediction pertaining to a future state of the electrical grid and a future electrical load to be drawn at the power-drawing location. A power budget is thereupon calculated, with respect to the power-drawing location, based on the data and the at least one prediction. Other variants and embodiments are broadly contemplated herein.

Grid-friendly data center

Methods and arrangements for providing appliance power management. A connector arrangement is provided for interconnecting an appliance with a power supply. There is identified, with respect to the appliance connected to the power supply, at least one of: an appliance category, a current operating state of the appliance, and a current standby state of the appliance. In response to the identifying of the at least one of: an appliance category, an appliance operating state and an appliance standby state, there is detected at least one of: anomalous appliance behavior and deficient power quality. Also, a control action is undertaken relative to the detection of the at least one of: anomalous appliance behavior and deficient power quality. Other variants and embodiments are broadly contemplated herein.

Methods and arrangements for enforcing demand management in electrical grids. Electrical power is provided from an electrical network to at least one substation, the electrical network including an electrical generation grid in communication with the at least one substation, the at least one substation comprising a power limiter. Electrical power is provided from the at least one substation to a plurality of locations, each location comprising a smart power demand manager which controls electrical power delivery to at least power-drawing item. There is detected, with respect to the electrical network, at least one discrepancy comprising at least one of: an unbalanced network load; an unscheduled network load; a change in network supply; and a change in network condition. In response to such detection, electrical power delivery is controlled via employing the power limiter of the at least one substation in collaboration with at least one smart power demand manager.

Enforcing fine-grained demand management in smart grids

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Brunei, Brunei

Saiful A Husain