International Business Machines Corporation

Utopus Insights, Inc.

Hydro-quebec

Universiti Brunei Darussalam

Manikandan Padmanaban

Jagabondhu Hazra

Sarbajit Kumar Rakshit

Ranjini Bangalore Guruprasad

Kalyan Dasgupta

Shivkumar Kalyanaraman

Isaac Waweru Wambugu

Kumar Saurav

Ivan Kayongo

Srikanth Govindaraj Tamilselvam

Marc Henri Coq

Amar Prakash Azad

Chumki Basu

Ayush Jain

Vijay Ekambaram

Biplav Srivastava

Pankaj Satyanarayan Dayama

Ashish Verma

Smitkumar Narotambhai Marvaniya

Shantanu Ravindra Godbole

Umamaheswari C Devi

Lloyd Alan Treinish

Prithu Banerjee

Otis Smart

Sathyajith Mathew

Sébastien Guillon

Innocent Kamwa

Mohammad Saad Nazimuddin Patel

Luc Cauchon

Gopalakrishnan Sankararamasubramanian

Mohammad Iskandar Pg Hj Petra

Zishan Sami

A Scope 3 emission system includes a controller with a microprocessor and a memory. The memory stores executable instructions that when executed by the microprocessor cause the microprocessor to perform a computer-executable method. The method comprises generating embeddings based on enterprise financial transaction data, enterprise metadata, and crowd source data, and generating sector wise carbon-aware spatio-temporal weights indicative of an estimated level of Scope 3 emissions produced by a corresponding commodity sector. The method further includes generating a carbon-aware natural language processing (NLP) foundation model (FM) based on the embeddings and the sector wise carbon-aware spatio-temporal weights. User-generated data indicating at least one target commodity sector and spend data associated with the target commodity sector is input into the NLP FM, and the NLP FM outputs an estimation of the Scope 3 emissions based on the least one target commodity sector and the spend data.

Carbon footprint estimation using foundation model

The present inventive provides for a method of enhancing photosynthesis using IoT. The method includes obtaining data related to at least one crop and at least one location. Respective crop features and location features are extracted from the obtained data. At least one of photosynthetic rate potential, photosynthetic rate limiting conditions, and potential loss for the at least one crop at the location is determined based on the extracted crop features and location features. Ameliorative actions are calculated based on the determined at least one of photosynthetic rate potential, photosynthetic rate limiting conditions, and potential loss for the at least one crop at the location.

Enhancing photosynthesis using IoT

Systems and methods are provided for detecting and repelling bird species approaching a wind farm, using targeted ultrasonic/sonic frequencies. A zone of vulnerability boundary is set around the wind farm at which bird repellers start responding to instructions to broadcast ultrasonic/sonic. Based on the received plurality of images, at least one bird species is identified as approaching the zone of vulnerability boundary. The bird repellers receive instructions to broadcast beginning with the calculated starting ultrasonic/sonic frequency, and incrementally increasing or decreasing the starting ultrasonic/sonic frequency in response to the at least one identified bird species continuing to approach or to move away from the zone of vulnerability boundary. A learning model is updated with statistics, which the identified plurality of bird species and the ultrasonic/sonic frequency receiving the optimal response from the identified plurality of bird species.

Automated bird detection and targeted activation of ultrasonic bird repeller for wind turbines

An approach for adjusting an inclination angle of a mirror to maximize power output of an adjacent solar panel and shadow-effect energy generator (SEG). The approach retrieves data associated with a solar irradiance profile and a SEG shadow profile. The approach predicts an irradiance profile based on the data. The approach predicts a shadow contrast ratio based on the data. The approach predicts a SEG shadow profile based on the data. The approach calculates optimized control parameters associated with a mirror based on the irradiance profile, the shadow contrast ratio and the SEG shadow profile. The approach adjusts the mirror inclination angle based on the optimized control parameters.

Maximizing solar panel power generation with shadow energy generation

A method, computer system, and a computer program product for improving environmental impact estimations is provided. The present invention may include obtaining data pertaining to an agricultural area. The present invention may include deriving one or more features from the data pertaining to the agricultural area. The present invention may include identifying one or more stubble burning areas within the agricultural areas based on the one or more derived features. The present invention may include determining an environmental impact for each of the one or more stubble burning areas.

Enhancing greenhouse gas emission estimates for stubble burning areas

A computer implemented method identifies a set of environmental projects. A number of processor units identifies a group in a plurality of groups for organization of interest using organization parameters for the organization of interest. The number of processor units determines environmental performance for the organizations in the group using environmental data and the organization parameters for the organizations in the group. The number of processor units identifies the set of environmental projects for the organization of interest based on the environmental performance determined for the organizations in the group.

Net zero acceleration for organizations

The present inventive concept provides for a method of harnessing artesian aquifer power. The method includes obtaining weather data and artesian aquifer data for a geolocation. Weather features and artesian aquifer features are extracted from the obtained weather data and artesian aquifer data, respectively. Compression and decompression events are predicted for water in an artesian well at the geolocation by mapping the weather features and the artesian aquifer features. A plurality of piezoelectric springs connected to the artesian well are modulated to maximize artesian aquifer energy harnessed based on the predicted compression and decompression events.

Harnessing artesian aquifer energy modulating piezoelectric springs

Described is a method for managing a trackable solar panel assembly and a variable reflective surface. The method can receive solar farm characteristics and location characteristics for the solar farm. The method can also receive solar panel assembly characteristics for a solar panel assembly and variable reflective surface characteristics for a variable reflective surface. The method can optimize control parameters for the solar panel assembly and the variable reflective surface, based on the solar farm characteristics, the location characteristics, the solar panel assembly characteristics, and the variable reflective surface characteristics. The method can adjust the variable reflective surface based on the control parameters.

Variable reflective surface and solar panel configuration

Methods, systems, and computer program products for generating context-aware process-based model determinations for greenhouse gas emissions from agricultural fields are provided herein. A computer-implemented method includes obtaining data related to multiple conditions pertaining to at least one agricultural field; deriving one or more contextual features for one or more activities associated with the at least one agricultural field, wherein deriving the contextual feature(s) includes processing at least a portion of the obtained data using one or more activity-related models; updating one or more greenhouse gas emission estimates, pertaining to the at least one agricultural field, generated by at least one process-based model by processing at least a portion of the one or more greenhouse gas emission estimates and at least a portion of the derived contextual feature(s) using a spatio-temporal learning model; and performing one or more automated actions based on the one or more updated greenhouse gas emission estimates.

Generating context-aware process-based model determinations for greenhouse gas emissions from agricultural fields

A variable solar panel assembly includes a conventional solar panel, a mirror panel, and a transparent solar panel. The variable solar panel assembly is configured to reflect, by the mirror panel, light passing through the transparent solar panel towards the conventional solar panel. A method for managing an angle between the mirror panel and the conventional solar panel includes determining a position of a light source relative to a position of the variable solar panel assembly and adjusting the mirror panel to reflect light from the light source towards the conventional solar panel of the variable solar panel assembly.

Variable solar panel assembly

Methods, systems, and computer program products for enhancing spatial and temporal resolution of greenhouse gas emission estimates for agricultural fields using cohort analysis techniques are provided herein. A computer-implemented method includes obtaining non-greenhouse gas remote sensing data and contextual information pertaining to agricultural fields; determining cohorts among the agricultural fields by deriving agricultural field-specific features from the obtained data and contextual information; computing agricultural field-level time series of greenhouse gas emission estimates for the cohorts by processing the obtained data and contextual information using a process-based model; calculating bias corrections for the cohorts by processing, using a time series learning model, the time series and background greenhouse gas emission estimates; generating resolution-enhanced greenhouse gas emission estimates for the cohorts based on initial greenhouse gas emission estimates derived from greenhouse gas remote sensing data and the calculated bias corrections; and performing automated actions based on the updated greenhouse gas emission estimates.

Enhancing spatial and temporal resolution of greenhouse gas emission estimates for agricultural fields using cohort analysis techniques

An approach for adjusting the inclination of a solar panel and the pitch of one or more micro-turbines to maximize power output. The approach predicts wind velocity at a small opening of an inclined solar panel wherein a plurality of micro-turbines is located. The approach predicts solar irradiance striking the inclined solar panel. The approach calculates an optimal solar panel inclination angle and micro-turbine pitch based on maximizing power output. The approach adjusts the solar panel inclination angle and micro-turbine pitch based on the calculation.

Maximizing solar panel power generation with micro wind turbines

A method for selective boundary detection includes identifying a plurality of boundaries for a plurality of subregions in a region of interest utilizing one or more multispectral images for the region of interest. The method further includes analyzing a plurality of adjacent fields to a first field in a first subregion out of the plurality of subregions utilizing a region identification criterion based on a plurality of attributes for the first field and the plurality of adjacent fields. The method further includes determining, based on the analyzing, the first region with the first field requires further analysis of multitemporal remote sensed data over a defined period of time.

Selective analysis for field boundary detection

Methods, systems, and computer program products are provided herein in connection with IoT-enabled solar PV health monitoring and advising related thereto. A computer-implemented method includes obtaining current-voltage samples corresponding to solar photovoltaic modules by triggering switch circuitry between (i) an inverter attributed to the solar photovoltaic modules and (ii) a current-voltage tracer; detecting one or more anomalies in the obtained current-voltage samples by applying machine learning techniques to the obtained current-voltage samples; automatically performing a root cause analysis on the detected anomalies by (i) converting the obtained current-voltage samples to sequential data, (ii) applying a sequence classifier to the sequential data, and (iii) identifying a pre-determined anomaly class comparable to the sequential data based on the application of the sequence classifier; and automatically generating and outputting a suggestion for remedial action based on the identified pre-determined anomaly class.

Internet of things-enabled solar photovoltaic health monitoring and advising related thereto

One embodiment provides a method, including: receiving configuration input for a solar structure; the configuration input comprising (i) a geographical location, (ii) module configuration input, and (iii) reflector configuration input; identifying the position of the sun; determining an angle between the solar reflector and the solar module corresponding to a predetermined power gain for the solar module, wherein the determining comprises (i) identifying the corresponding area of the solar module that is illuminated by the solar reflector and (ii) totaling the contributions from each of the solar reflectors to calculate an irradiance for each solar cell; adjusting the angles of at least some of the solar reflectors with respect to the solar module to angles determined to correspond to the predetermined power gain using at least one actuator; and dynamically changing how the solar cells are electrically connected together to form a plurality of strings.

Growing community of inventors

Bengaluru, India

Manikandan Padmanaban