Abstract: The uncertainty of availability and risk associated with the cost of power procurement hinders the consumer from using new sources of supply/storage devices or taking part in the competitive power markets or procuring power from green energy resources. Present disclosure provides a method and a system for optimal scheduling of power sources for meeting electricity demand of enterprise. In particular, the system performs portfolio optimization formulation for cost, risk and carbon emission minimization for the enterprise. The portfolio optimization formulation simulates market scenario and guides in providing effective power purchase strategy for enterprise along with real-time adjustments. In particular, the level of risk to be considered along with cost of power procurement and carbon footprint determine portfolio allocation for each time block in portfolio optimization formulation.

Abstract: Automatic transaction processing failover and reconciliation in a cloud-based environment includes monitoring the processing of transaction messages to identify exception events and determining whether to initiate a failover switch based upon the identified exception events. When a failover switch is initiated, the system identifies a target cloud-based system instance for the failover switch, changes a state of the affected cloud-based system instance to prevent the affected instance from receiving transaction messages, changes a state of the target instance to receive transaction messages intended for the affected instance, and performs a replication check between databases. The system reconciles transaction messages stored in the database of the cloud-based system instance to identify anomalies.

Abstract: Techniques for script-based runtime assembly of object graphs using native instructions compiled by an ahead-of-time compiler are disclosed, including: generating, based on a data structure that defines a business process, a script including instructions for assembling an object graph that represents relationships between objects used by the business process; obtaining, at runtime by a business process execution engine compiled to native instructions by an ahead-of-time compiler, the script; assembling, at runtime by the business process execution engine, the object graph based at least on the instructions in the script.

Abstract: This disclosure relates generally to a bidirectional charging at an electric vehicle (EV) charging station by an energy model that uses electricity bought from the day-ahead market for charging the fleet of electric vehicles (EVs) and uses the intra-day market for arbitrage. The competitive pricing of wholesale electricity markets and distributed energy resource capability of EV fleets (in addition) provide a revenue channel through energy arbitrage. To effectively handle electricity price variations and the energy demand of the EV fleet, the present disclosure utilizes a graph representation-based learning agent (LA3_D) with two-stage encoding for day-ahead charge planning; and a priority order based greedy heuristic (GH_I) for intra-day arbitrage planning. Because the agent learns the planning policy of mapping EVs to charging operations over several problem instances, it is able to solve a given instance with limited sub-optimality when put to test at different levels of scale.

Abstract: A data processing system implements techniques for operating and recovering databases that includes a plurality of replicas. The plurality of replicas includes a primary replica, a secondary replica, and a delta replica. The primary replica handles read and write operations, the secondary replica is a backup of the primary replica capable of read-only operations. The delta replica comprising a copy of the transactional log information of the primary replica but not the data. The system detects a failure of the primary and secondary replicas. The system instantiates a recovery workflow using the delta replica that includes initializing a second secondary replica; causing the second secondary replica to download backup data that represents a state of the primary replica prior to failure of the primary replica; updating the secondary replica using the backup data; and promoting the secondary replica to the primary replica.

Abstract: This disclosure relates generally to method and system of generating optimal portfolio for seller bidding strategy in decoupled multi-energy markets. Energy sellers generate multiple forms of energy and can trade in specific energy markets by maximizing returns and minimizing risk of price fluctuations. Portfolio optimization across multi-energy markets lacks proper consideration of inter energy conversion efficiencies, market price risks, and asset constraints. The present disclosure provides to multi-energy markets prior to bidding day at least one energy type available with a seller, a bidding price of corresponding energy type, and at least one energy type required by a market participant to generate an optimal portfolio. The seller determines a risk factor for energy type in the multi-energy markets and then computes a total risk for each energy type. The optimal portfolio splits the generated volume of each energy type to bid at every timeslot of the multi-energy markets.

Abstract: This disclosure provides a system and method for flexibility based profit allocation for aggregator with distributed energy resources (DERs). The method of the present disclosure considers an aggregation model that allows an aggregator to orchestrate a set of heterogeneous DERs while enabling energy exchange among subscribed DERs and to participate in a day-ahead market. Further, a flexibility index is used to quantify the flexibility offered by a DER and a novel profit allocation model is proposed based on the flexibility index. Efficacy of the proposed models is demonstrated by evaluating their performance on a group of heterogeneous DERs using data traces from real-world electricity market.

Abstract: The disclosure relates generally to methods and systems for real-time voltage stabilization of electrical distribution networks with non-linear power flows. Existing real-time voltage control techniques are neither performance nor stability guarantees. The present disclosure proposes an online robust control algorithm, which operates without knowing an exact information of the line-parameters and resolves the voltage stability problem. In the proposed method a load data, a distributed energy resources (DER) data, and a network data of an electrical distribution network is obtained, to obtain a voltage profile at each time-step of the electrical distribution network. Next, line-parameters of the electrical distribution network are predicted using an on-line convex optimization technique and a Gauss-Seidel technique.

Abstract: In some examples, a circuit includes an amplifier, a resistor, and a damping network. The amplifier has an amplifier output and first and second amplifier inputs. The first amplifier input is adapted to be coupled to a first terminal, and the second amplifier input is configured to receive a reference voltage. The resistor is coupled between the amplifier output and the first amplifier input. The damping network is coupled between the amplifier output and the first terminal.

Abstract: Described embodiments include an audio amplifier circuit that includes a first amplifier having a differential first amplifier input adapted to be coupled to an audio input source, a multiplexer having first and second mux inputs, a control input and a mux output. The first mux input is coupled to the differential amplifier output. There is a signal generator having a generator input coupled to the mux output. There is also a driver circuit having a driver circuit input and a driver circuit output, the driver circuit input coupled to the generator output, and a second amplifier having a first error input coupled to a current sense terminal that is configured to provide a voltage proportional to a current supplied from a power supply terminal, and a second error input coupled to a current limit terminal configured to provide a reference voltage proportional to a current limit value.

Abstract: The embodiments of present disclosure address a need of a framework to holistically utilize storage capacity of an Energy Storage System (ESS) to serve forecast errors of several Renewable Energy Generators (REGens) participating in a day-ahead market. Embodiments herein provide a method and system for optimizing the operation and price of an Energy Storage as a Service (ESaaS) framework. In anticipation of the forecast errors from REGens, the ESS operator takes suitable countermeasures such as charging/discharging of storage system through market transactions. This is done in a way to reduce imbalance in the market commitments made by individual REGens without reserving any storage volume for each REGen. Further, the system is configured to schedule the storage, determine the settlement volumes, and decide the service prices. The disclosed ESaaS framework is beneficial for all entities such as REGens (revenue outflow decreases), system operator (imbalance volume reduces), and ESS (revenue earned increases).

Abstract: In some examples, a circuit includes an amplifier, a resistor, and a damping network. The amplifier has an amplifier output and first and second amplifier inputs. The first amplifier input is adapted to be coupled to a first terminal, and the second amplifier input is configured to receive a reference voltage. The resistor is coupled between the amplifier output and the first amplifier input. The damping network is coupled between the amplifier output and the first terminal.

Abstract: An aspect of the present disclosure facilitates secured access to protected resources. In one embodiment, a system (e.g., identity provider) receives, from an application service operating on a cloud node of a first cloud, a token request to access a protected resource hosted on a second cloud. The system generates a cloud web token containing a resource identifier of the protected resource, an application identifier associated with the application service and a node identifier of the cloud node. The system sends the cloud web token to the cloud node. Upon receiving, from the application service, an access request containing the resource identifier and the cloud web token, the system checks whether the cloud web token contained in the access request is valid. The system allows access to the protected resource if the cloud web token is determined to be valid, and denies access to the protected resource otherwise.

Abstract: Described embodiments include an audio amplifier circuit that includes a first amplifier having a differential first amplifier input adapted to be coupled to an audio input source, a multiplexer having first and second mux inputs, a control input and a mux output. The first mux input is coupled to the differential amplifier output. There is a signal generator having a generator input coupled to the mux output. There is also a driver circuit having a driver circuit input and a driver circuit output, the driver circuit input coupled to the generator output, and a second amplifier having a first error input coupled to a current sense terminal that is configured to provide a voltage proportional to a current supplied from a power supply terminal, and a second error input coupled to a current limit terminal configured to provide a reference voltage proportional to a current limit value.

Abstract: An integrated circuit (IC) includes a semiconductor substrate and a mold compound on the semiconductor substrate. The IC also includes an acoustic signal generator between the mold compound and the semiconductor substrate. The acoustic signal generator is configured to transmit an acoustic signal having a predetermined set of frequencies through at least one of the semiconductor substrate or the mold compound.

Abstract: Provided herein are improved processes for the preparation of a compound of Formula IX (AG-10). Also provided herein are pharmaceutically acceptable salts of Formula I and Formula Ib as well as crystalline types of Formula IX (AG-10). The processes described herein provide improved yields and efficiency, while the pharmaceutically acceptable salts and crystalline forms provide unexpected pharmacokinetic properties. Other features and aspects of the present disclosure will be apparent to a person of skill in the art upon reading the remainder of the specification.

Abstract: A method includes charging a capacitor of a power inverter to a direct current (DC) input voltage from an input terminal of the power inverter. The capacitor has first and second terminals. The method also includes providing a first voltage at an output terminal of the power inverter at a first time by controlling one of either: an output switch that selectively couples the output terminal to either the first terminal or the second terminal; or a set of input switches that selectively couple the first and second terminals to either the input terminal or a ground terminal. The method further includes providing a second voltage at the output terminal at a second time by controlling the other of the output switch or the set of input switches.

Abstract: A switching amplifier includes a first portion of a power stage; a second portion of a power stage; a pulse-width modulation (PWM) control loop coupled to control inputs of the first portion of the power stage; and a linear amplifier coupled to control inputs of the second portion of the power stage. The PWM control loop controls a first switch and a second switch of the first portion of the power stage. Between current terminals of the first switch and the second switch is a first signal output of the switching amplifier. The linear amplifier controls a third switch and a fourth switch of the second portion of the power stage. Between current terminals of the third switch and the fourth switch is a second signal output of the switching amplifier.

Abstract: Disclosed are systems and methods for uniquely identifying a hardware device. In one aspect, a method may comprise (a) obtaining a first partial key and encrypted parameters from a database and a second partial key from a remote server; (b) decrypting the encrypted parameters using the first partial key and the second partial key, to thereby generate decrypted parameters; (c) obtaining attributes of a hardware device, wherein the attributes comprise a state of a CPU or GPU of the hardware device; (d) processing, on the hardware device, the attributes with a first ML algorithm to generate a digital fingerprint of the hardware device, wherein the first ML algorithm comprises the decrypted parameters; and (e) processing, on the remote server, at least the digital fingerprint of the hardware device and the attributes with a second ML algorithm configured to determine whether the hardware device has been previously identified.

Abstract: Disclosed embodiments include an integrated circuit (IC) comprising a silicon wafer, first and second conductive lines on the silicon wafer. There are first, second and third insulation blocks with portions on the first and second conductive lines and the silicon wafer, a metal pillar on the surface of the first conductive line opposite the silicon wafer, and a conductive adhesive block on the surface of the second conductive line opposite the silicon wafer. The IC also has a lead frame having first and second leads, and a capacitor having first and second capacitor terminals in which the first capacitor terminal is connected to the second lead using conductive adhesive, the second capacitor terminal is connected to the second conductive line through the conductive adhesive block, and the first lead is coupled to the first conductive line.