International Business Machines Corporation

Other

Kevin Wilson Warren

Younghun Kim

Tarun Kumar

Wander S Wadman

Varun Badrinath Krishna

Sameh W Asaad

Stephen Victor Kosonocky

Mark Alan Lavin

Bengt-Olaf Schneider

Ernest Nelson Mandese

Steven Edward Millman

Arthur A Bright

Nicholas R Dono

Wei Zhang

Chandrasekhar Narayan

Rui Zhang

Steven Lorenz Wright

Bruce Kenneth Furman

Fook-Luen Heng

Raymond R Horton

Pedro A Chalco

Ildar Khabibrakhmanov

Srivats Shukla

Aanchal Goyal

Minwei Feng

Paul M Alt

Benal Lee Owens, Jr

Jayant K Taneja

A method, computer system, and computer program product. Weather forecast data is generated with respect to an area encompassing a location of a solar farm by a computer system. Solar power output by the solar farm is forecasted by the computer system based on the generated weather forecast data. Forecasted solar power output data is generated by the computer system based on the forecasted solar power output by the solar farm. A power grid operation, including one or both of a power grid balancing operation and a power grid optimization operation, is performed based on the forecasted solar power output data.

Forecasting solar power output

Historical electrical power output measurements of a wind turbine for a time period immediately preceding a specified past time are received. Historical wind speed micro-forecasts for the geographic location of the wind turbine, for a time period immediately preceding the specified past time and for a time period immediately following the specified past time are received. Based on the historical electrical power output measurements and the historical wind speed micro-forecasts, a trained machine learning model for predicting wind power output of the wind turbine is generated. Real-time electrical power output measurements of the wind turbine and real-time wind speed micro-forecasts for the geographic location of the wind turbine are received. Using the trained machine learning model with the real-time electrical power output measurements of the wind turbine and the real-time wind speed micro-forecasts, a wind power output forecast for the wind turbine at a future time is outputted.

Reducing curtailment of wind power generation

Detecting an outage in an alternating current (AC) electrical network. One or more time-stamped and location-stamped data packets, each data packet including magnetic sensor data collected by one or more non-contact magnetic sensors in a mobile device in proximity to the AC electrical network are received. Based on the magnetic sensor data, it is determined that an outage exists in the AC electrical network.

Detecting power outages using smartphone sensors

Embodiments herein relate to improving a stochastic forecast for uncertain power generations and demands to quantify an effect on an electrical power grid. To improve the stochastic forecast, a method includes fitting marginal distributions to data of the uncertain power generation and demand by power generation and demand nodes of the electrical power grid. The power generation and demand nodes provide corresponding uncertain power generation and demand based on a renewable energy source. The method also includes determining a correlation structure between the power generation and demand nodes by transforming the data from marginal distributions to a second distribution and by fitting a multivariate time series on transformed data. The method also includes simulating multivariate stochastic forecast with an improved correlation structure.

Quantifying a combined effect of interdependent uncertain resources in an electrical power grid

Historical power output measurements of a wind turbine for a time period immediately preceding a specified past time are received. Historical wind speed micro-forecasts for the wind turbine for a time period immediately preceding the specified past time and for a time period immediately following the specified past time are received. The historical wind speed micro-forecasts are converted to wind power values. Based on the historical power output measurements and the wind power output values, a machine learning model for predicting wind power output is trained. Real-time power output measurements of the wind turbine and real-time wind speed micro-forecasts for the wind turbine are received. The real-time wind speed micro-forecasts are converted to real-time wind power values. Using the machine learning model with the real-time power output measurements and the real-time wind power values, a wind power output forecast for the wind turbine at a future time is outputted.

Historical power output measurements of a wind turbine for a time period immediately preceding a specified time are received. Historical wind speed micro-forecasts for the wind turbine for a time periods immediately preceding the specified past time and immediately following the specified past time are received. The historical wind speed micro-forecasts are converted to wind power values. Based on the historical power output measurements and the wind power output values, a machine learning model for predicting wind power output is trained. Real-time power output measurements of the wind turbine and real-time wind speed micro-forecasts for the wind turbine are received. The real-time wind speed micro-forecasts are converted to real-time wind power values. Using the machine learning model with the real-time power output measurements and the real-time wind power values, a wind power output forecast for the wind turbine at a future time is outputted.

A retractable peg system for a motorcycle including a bracket operatively attachable the motorcycle and a peg rotatably coupled to the bracket and rotatable between a retracted safe storage orientation and an extended use orientation. In the extended orientation, the peg is disposed such that a rider may rest a foot on the peg while seated. The retractable peg system further includes a biasing member to substantially maintain the orientation of the peg in its presently retracted or extended orientation absent application of an external force acting on the peg. The components of the retractable peg system may be configured to provide a visually integrated appearance in relation to the motorcycle.

Retractable peg system

Vehicle foot peg

A method of (and system for) of displaying information, includes an extended bus bridge, a graphics adaptor coupled to the extended bridge, and a monitor coupled to the graphics adaptor to display the information, such that the graphics adaptor is localized to the monitor.

Method and system for high resolution display connect through extended bridge

A computer system, includes a mobile computer, a docking station for receiving the mobile computer, a bridge having a first side coupled to the mobile computer and a second side coupled to the docking station, and a flat panel display formed with the docking station for being coupled to the mobile computer via the docking station. The docking station includes a dock housing coupled to a desktop display and including a first bus, and a bridge coupled between the first bus and a second bus, the first bus residing in the dock housing and the second bus for being coupled to the mobile computer.

All-in-one mobile docking station and system used therewith

A method of (and system for) of transporting a sideband signal through a physical layer of an extended bridge, includes on a first node of the extended bridge, providing an interface to a sideband component coupled to a side of the extended bridge, encoding a first data stream being output from the sideband component with a unique header to identify the data output from the sideband component, and multiplexing the first data stream from the sideband component with a second data stream from a principal signal port, and outputting the multiplexed first and second data streams to another node of the extended bridge.

Growing community of inventors

Fishkill, NY, United States of America

Kevin Wilson Warren